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Journal articles on the topic 'Mismatched Filter'

Author: Grafiati

Published: 25 May 2024

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1

Damtie, B., and M. S. Lehtinen. "Comparison of the performance of different radar pulse compression techniques in an incoherent scatter radar measurement." Annales Geophysicae 27, no. 2 (February 17, 2009): 797–806. http://dx.doi.org/10.5194/angeo-27-797-2009.

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Abstract. Improving an estimate of an incoherent scatter radar signal is vital to provide reliable and unbiased information about the Earth's ionosphere. Thus optimizing the measurement spatial and temporal resolutions has attracted considerable attention. The optimization usually relies on employing different kinds of pulse compression filters in the analysis and a matched filter is perhaps the most widely used one. A mismatched filter has also been used in order to suppress the undesirable sidelobes that appear in the case of matched filtering. Moreover, recently an adaptive pulse compression method, which can be derived based on the minimum mean-square error estimate, has been proposed. In this paper we have investigated the performance of matched, mismatched and adaptive pulse compression methods in terms of the output signal-to-noise ratio (SNR) and the variance and bias of the estimator. This is done by using different types of optimal radar waveforms. It is shown that for the case of low SNR the signal degradation associated to an adaptive filtering is less than that of the mismatched filtering. The SNR loss of both matched and adaptive pulse compression techniques was found to be nearly the same for most of the investigated codes for the case of high SNR. We have shown that the adaptive filtering technique is a compromise between matched and mismatched filtering method when one evaluates its performance in terms of the variance and the bias of the estimator. All the three analysis methods were found to have the same performance when a sidelobe-free matched filter code is employed.

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2

Rabaste, Olivier, and Jonathan Bosse. "Robust Mismatched Filter for Off-Grid Target." IEEE Signal Processing Letters 26, no. 8 (August 2019): 1147–51. http://dx.doi.org/10.1109/lsp.2019.2923054.

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3

Ali, Weaam Talaat. "Detraction the Clutter for the Best Binary Phase Codes that Begot By Genetic Algorithm Using Wiener Filter." European Journal of Engineering and Technology Research 1, no. 1 (July 27, 2018): 9–14. http://dx.doi.org/10.24018/ejeng.2016.1.1.59.

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This work illustrates the performance of detraction of clutter (unwanted echo signals, which mask the desired target signal and make difficult to detect the target) as a result of binary codes generating by genetic algorithm with length up to 105 bits, with use the minimum peak sidelobes as criteria for generation codes. Then, for further reduction of sidelobes, the mismatched optimum integrated sidelobe level filter (Wiener filter) is used with and without White Gaussian Noise. When the mismatched filter is used without noise, then the reduction of sidelobe level has the improvement of peak sidelobe level value on the average (4-15) dB, and for integrated sidelobe level value on the average (5-17) dB, which depends on the code length while it is accompanied by, signal to noise ratio loss level in range (0.2-1.4) dB. On other hand, when the mismatched filter is used with noise, the signal to noise ratio loss level is in range (0.2-1.4) dB.

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4

YOU, DATAO, JIQING HAN, TIERAN ZHENG, and GUIBIN ZHENG. "SPARSE-BASED AUDITORY MODEL FOR ROBUST SPEAKER RECOGNITION." International Journal of Pattern Recognition and Artificial Intelligence 26, no. 07 (November 2012): 1250015. http://dx.doi.org/10.1142/s0218001412500152.

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The mismatch between the training and the testing environments greatly degrades the performance of speaker recognition. Although many robust techniques have been proposed, speaker recognition in mismatch condition is still a challenge. To solve this problem, we propose a sparse-based auditory model as the front-end of speaker recognition by simulating auditory processing of speech signal. To this end, we introduce narrow-band filter-bank instead of the widely used wide-band filter-bank to simulate the basilar membrane filter-bank, use sparse representation as the approximation of basilar membrane coding strategy, and incorporate the frequency selectivity enhance mechanism between tectorial membrane and basilar membrane by practical engineering approximation. Compared with the standard Mel-frequency cepstral coefficient approach, our preliminary experimental results indicate that the sparse-based auditory model consistently improve the robustness of speaker recognition in mismatched condition.

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5

Rohling, H., and W. Plagge. "Mismatched-filter design for periodic binary phased signals." IEEE Transactions on Aerospace and Electronic Systems 25, no. 6 (1989): 890–97. http://dx.doi.org/10.1109/7.40729.

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6

Liu, Aifei, Yee Siang Lim, Kah Chan Teh, and Caicai Gao. "Mismatched filter for transmit waveform with frequency notches." IET Radar, Sonar & Navigation 12, no. 3 (March 2018): 332–40. http://dx.doi.org/10.1049/iet-rsn.2017.0350.

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7

Bi, Jingying, and Hermann Rohling. "Complementary Binary Code Design based on Mismatched Filter." IEEE Transactions on Aerospace and Electronic Systems 48, no. 2 (2012): 1793–97. http://dx.doi.org/10.1109/taes.2012.6178101.

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8

Wang, Tao, Zihao Chen, Zhiwei Cheng, Xiaobo Deng, Junli Liang, and Jianchao Bai. "Joint design of mismatched filter and unimodular transmit waveform." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 39, no. 6 (December 2021): 1349–55. http://dx.doi.org/10.1051/jnwpu/20213961349.

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To improve the receiver performance, unimodular transmit waveform and mismatched filter are jointly designed by using the alternating direction method of multipliers (ADMM). A series of auxiliary variables are introduced to decouple the variables in objective function and additional constrains. Denominator normalization(fractional programming technology) and step function are applied to obtain optimal solution from some subproblems. For given transmit waveform, same-length mismatched filter is designed in receiver. The low sidelobe level performance of the present methods are illustrated with the simulation results.

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9

Cui, Jiadong, Wenhao Xing, Huibin Qin, Yongzhu Hua, Xin Zhang, and Xinran Liu. "Research on Permanent Magnet Synchronous Motor Control System Based on Adaptive Kalman Filter." Applied Sciences 12, no. 10 (May 13, 2022): 4944. http://dx.doi.org/10.3390/app12104944.

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A sensorless control system of a permanent magnet synchronous motor based on an extended Kalman filter (EKF) algorithm faces problems with inaccurate or mismatched process noise statistics. This problem affects the performance of the filter, resulting in an inaccurate estimation of motor speed. To address the above problem, this paper proposes a parameter-adaptive Kalman filter algorithm that does not depend on precise noise system covariance. This method can significantly reduce the negative impact of the noise statistical mismatch on motor speed estimation. In addition, the method uses adaptive covariance prediction and removes the original covariance checks in the EKF, thus reducing the calculation burden. The simulation results show that, compared with the traditional EKF algorithm, the algorithm proposed in this article can effectively reduce the steady-state jitter and improve the filtering adaptability and calculation accuracy.

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Wang, H., J. Wang, and L. Zhong. "Mismatched filter for analogue TV-based passive bistatic radar." IET Radar, Sonar & Navigation 5, no. 5 (2011): 573. http://dx.doi.org/10.1049/iet-rsn.2010.0136.

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11

Sun, Yinghao, Quanhua Liu, Jinjian Cai, and Teng Long. "A Novel Weighted Mismatched Filter for Reducing Range Sidelobes." IEEE Transactions on Aerospace and Electronic Systems 55, no. 3 (June 2019): 1450–60. http://dx.doi.org/10.1109/taes.2018.2871479.

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12

Wei, Li, Zhi Huang, and John W. Y. Lit. "Dispersion compensation using mismatched multicavity etalon all-pass filter." Optics Communications 274, no. 1 (June 2007): 124–29. http://dx.doi.org/10.1016/j.optcom.2007.02.017.

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13

Aittomaki, Tuomas, and Visa Koivunen. "Mismatched Filter Design and Interference Mitigation for MIMO Radars." IEEE Transactions on Signal Processing 65, no. 2 (January 15, 2017): 454–66. http://dx.doi.org/10.1109/tsp.2016.2620960.

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14

Kulpa, Janusz S. "Noise radar sidelobe suppression algorithm using mismatched filter approach." International Journal of Microwave and Wireless Technologies 8, no. 6 (August 12, 2016): 865–69. http://dx.doi.org/10.1017/s1759078716000945.

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Continuous wave radars usually use separate transmit and receive antennas that are close to each other. In such a configuration, the antenna crosstalk is the strongest echo acquired by the radar surveillance channel. Sidelobes of the strongest echo are spread over all range cells, limiting the dynamic range of the radar. In this paper, a mismatched filter approach is presented that substitutes classic correlation in order to suppress correlation sidelobes. Both simulations and measurements are presented.

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15

Shao, Teng, Zhansheng Duan, Quanbo Ge, and Huaping Liu. "Recursive performance ranking of Kalman filter with mismatched noise covariances." IET Control Theory & Applications 13, no. 4 (March 5, 2019): 459–66. http://dx.doi.org/10.1049/iet-cta.2018.5064.

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Ge, Quanbo, Teng Shao, Zhansheng Duan, and Chenglin Wen. "Performance Analysis of the Kalman Filter With Mismatched Noise Covariances." IEEE Transactions on Automatic Control 61, no. 12 (December 2016): 4014–19. http://dx.doi.org/10.1109/tac.2016.2535158.

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17

Molina, A., and P. C. Fannin. "Application of mismatched filter theory to bandpass impulse response measurements." Electronics Letters 29, no. 2 (1993): 162. http://dx.doi.org/10.1049/el:19930109.

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18

Ben Abdallah, Rayen, Jordi Vilà-Valls, Gaël Pagès, Damien Vivet, and Eric Chaumette. "Robust LCEKF for Mismatched Nonlinear Systems with Non-Additive Noise/Inputs and Its Application to Robust Vehicle Navigation." Sensors 21, no. 6 (March 16, 2021): 2086. http://dx.doi.org/10.3390/s21062086.

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It is well known that the standard state estimation technique performance is particularly sensitive to perfect system knowledge, where the underlying assumptions are: (i) Process and measurement functions and parameters are known, (ii) inputs are known, and (iii) noise statistics are known. These are rather strong assumptions in real-life applications; therefore, a robust filtering solution must be designed to cope with model misspecifications. A possible way to design robust filters is to exploit linear constraints (LCs) within the filter formulation. In this contribution we further explore the use of LCs, derive a linearly constrained extended Kalman filter (LCEKF) for systems affected by non-additive noise and system inputs, and discuss its use for model mismatch mitigation. Numerical results for a robust tracking and navigation problem are provided to show the performance improvement of the proposed LCEKF, with respect to state-of-the-art techniques, that is, a benchmark EKF without mismatch and a misspecified EKF not accounting for the mismatch.

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19

Shi, Jinjin, Jinxiang Wang, and Fangfa Fu. "Chatter alleviation for a class of second-order under-actuated mechanical systems with matched and mismatched disturbances." Journal of Vibration and Control 23, no. 3 (August 9, 2016): 458–68. http://dx.doi.org/10.1177/1077546315578340.

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The chattering phenomenon and a system with both matched and mismatched disturbances are the major difficulties in sliding mode control design. This paper presents an effective design procedure to alleviate these two difficulties for a class of second-order under-actuated mechanical systems. In the proposed design, new hierarchical sliding surfaces are designed and a modified disturbance observer is utilized to estimate the lumped disturbance which is a linear combination of the matched and mismatched disturbances. The chatter in control input is filtered out by an integrator, which acts as a low-pass filter. The asymptotic stabilities of the entire sliding surfaces are guaranteed. A design study considering lateral control of a vehicle with matched and mismatched disturbances demonstrates the effectiveness of the proposed design.

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20

Slichter, Sherrill J., Kraig Abrams, Lakshmi Gaur, Karen Nelson, Esther Pellham, and Todd Christoffel. "Leukoreduction to Prevent Alloimmune Platelet (Plt) Refractoriness in a Dog Transfusion Model: Types of Residual White Blood Cells (WBCs) Directly Affect Transfusion Outcomes." Blood 104, no. 11 (November 16, 2004): 835. http://dx.doi.org/10.1182/blood.v104.11.835.835.

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Abstract Introduction: Current practice assumes that just a quantitative reduction in the number of transfused wbcs to <1 to 5 x 106/transfusion is sufficient to prevent plt alloimmunization. However, our studies indicate that different leukoreduction strategies vary in their ability to remove immunizing wbcs, and this correlates with rates of alloimmune plt refractoriness in immunocompetent recipients. Experimental Design And Methods: Pairs of donor-recipient dogs were selected either at random, as having a shared DLA DR-B epitope, or as being specifically mismatched for this DLA locus. Non-leukoreduced or leukoreduced radiochromium-labeled donor plts were transfused weekly for up to 8 weeks or until the onset of plt refractoriness defined as <5% of the donor dog’s plts circulating in the recipient at 24 hours post-transfusion. Three methods of leukoreduction were evaluated: centrifugation leukoreduction (C-LR); filtration leukoreduction (F-LR) with different types of filters; or combined F-LR/C-LR. Flow cytometry was used to identify the types of residual wbcs following leukoreduction. Table 1 gives the number of residual wbcs and the transfusion outcomes based on the leukoreduction strategy used, while Table 2 gives the relative proportion of the types of residual wbcs after leukoreduction compared to the overall results for the leukoreduction method used. Results: Table 1 Method Of Leukoreduction Filter (Manufacturer) Average Residual WBCs Donor-Recipient DR-B Relationship Non-Refractory Recipients / Recipients Transfused ND-Not done. *Platelets were filtered sequentially using two PLF-1 filters. **Lower limit of detection of the assay. None --- 6.7 x 106 Random 1/3 (33%) Shared Epitope 0/4 (0%) C-LR --- 4.7 x 104 Random 3/21 (14%) F-LR: PL1-B (Pall) 5.0 x 104 ND ND PLF-1 (Pall) 7.9 x 104 Random 3/8 (38%) PLF-1 x2* (Pall) <3 x 103** Random 1/5 (20%) PLS-5A (Fenwal) 3.2 x 104 Mismatched 4/6 (66%) F-LR/C-LR: PL1-B (Pall) <3 x 103** Mismatched 1/9 (11%) <3 x 103** Shared Epitope 5/7 (71%) PLF-1 (Pall) <3 x 103** Random 15/16 (94%) <3 x 103** Mismatched 3/3 (100%) PLS-5A (Fenwal) <3 x 103** Mismatched 9/9 (100%) Table 2 RESIDUAL WBCs Lymphocytes Method of Leukoreduction T CD4 dim T CD4 bright B Monocytes Total Non-Refractory Recipients (%) ND-Not done. *Non-shared DR-B donor-recipient pairs/shared DR-B donor-recipient pairs (p=0.03). None ++ ++ +++ 14% C-LR + ++ + ++ 14% F-LR: PL1-B ++ ++ +++ +++ ND PLF-1 + +++ + 38% PLS-5A ++ + ++ 66% F-LR/C-LR: PL1-B ++ +++ + 11%/71%* PLF-1 ++ +++ 95% PLS-5A ++ + 100% Conclusions: 1) a quantitative reduction in wbcs does not prevent plt refractoriness; 2) the types of residual wbcs correlate directly with transfusion outcomes; 3) even after residual monocytes are removed by F-LR using PLF-1 and PLS-5A filters, residual CD4 bright T lymphocytes are associated with a high percentage of refractory recipients; 4) following F-LR/C-LR with PLF-1 and PLS-5A filters leaving B lymphocytes and CD4 dim T lymphocytes (NKT cells?), refractoriness is prevented even to DR-B mismatched donors; and 5) DLA DR-B matching significantly improves transfusion outcomes when residual monocytes remain following F-LR/C-LR using a PL1-B filter.

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21

Kiranmai, B., and P. Rajesh Kumar. "Performance Evaluation of Compound Barker Codes using Cascaded Mismatched Filter Technique." International Journal of Computer Applications 121, no. 19 (July 18, 2015): 31–34. http://dx.doi.org/10.5120/21649-4844.

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22

Rabaste, Olivier, and Laurent Savy. "Mismatched filter optimization for radar applications using quadratically constrained quadratic programs." IEEE Transactions on Aerospace and Electronic Systems 51, no. 4 (October 2015): 3107–22. http://dx.doi.org/10.1109/taes.2015.130769.

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23

Mustafa M. Amami. "Multi and single epipolar geometry-based filters vs. affine and conformal 2D transformation-based filters." Global Journal of Engineering and Technology Advances 10, no. 3 (March 30, 2022): 032–51. http://dx.doi.org/10.30574/gjeta.2022.10.3.0047.

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The accuracy of Optical Robot Navigation (ORN) depends mainly on the quality of the Automatic Image Matching (AIM) results. Conformal 2D transformation-based Filter (C-2DF), affine 2D transformation-based Filter (A-2DF) and Single Epipolar Geometry-based Filter (S-EGF) are common filters used in ORN. Multi-Epipolar Geometry-based Filter (M-EGF) has been introduced, tested and evaluated by the author and compared by each filter of those mentioned above in separate research papers. This paper comes to include all these individually comparisons, with additional details, showing the advantages and limitations of all filters comparing to each other. Tests show that C-2DF and A-2DF have failed to deal with AIM results in areas with open, narrow, and confused DOF. Also, they have failed to find out the right mathematical model in data with high rate of mismatched points and data obtained from images with difficult view angles. With limited DOF and low rate of errors, C-2DF and A-2DF have provided relatively sufficient results, which can be used for ORN applications that do not require precision. A-2DF is relatively better than C-2DF due to its flexibility to deal with figures including different scales, which is the case when dealing with different levels of DOF and different capturing angles between the cameras. The processing time is another disadvantage of C-2DF and A-2DF, where these are based on iterative estimation methods. Tests display how A-2DF is slowest, which keeps it away from using with real time ORN applications. Tests show that S-EGF and M-EGF are timesaving and able to deal with any AIM results, regardless the DOF, view angle and errors rate in observations. S-EGF is affected in areas including lines parallel to the cameras base line. M-EGF has offered the best results in terms of providing error-free filtered matched points in all tests. This can be attributed to the high restriction level of this filter, where the probability for the mismatched point to pass throughput the three co-planarity equations is nearly zero. M-EGF and S-EGF are affected by the quality of the Interior Orientation Elements (IOEs) and Exterior Orientation Parameters (EOPs) of the three cameras, leading to rejection a small number of corrected matched points, which can be avoided with professionally manufactured ORN systems. Tests illustrated that S-EGF and M-EGF are extremely high-speed and S-EGF is the faster and M-EGF, C-2DF, and A-2DF comes after, respectively. All results indicated that M-EGF is the best, as it is fast, restricted, reliable, and error-free technique and is suitable for real-time precise ORN applications.

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24

Zhang, Dai Yuan, Wen Bo Liu, and Zhuo Zhu. "Computationally Efficient Adaptive Sidelobe Blanker with Improved Mismatched Signals Rejection." Applied Mechanics and Materials 644-650 (September 2014): 4372–77. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.4372.

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This paper deals with the problem of adaptive signal detection in the presence of Gaussian noise with unknown covariance matrix. An improved adaptive sidelobe blanker (ASB) is proposed, which consists of an adaptive matched filter (AMF) followed by a whitened adaptive beamformer orthogonal rejection test (W-ABORT). A statistical characterization for the proposed two-stage test statistic is provided,under both noise-only and signal-plus-noise hypotheses. The associated probability of false alarm (Pfa) and probability of detection (Pd) are derived in closed form. The performance assessment confirms the effectiveness of the newly-proposed detection algorithms also in comparison to previously-proposed ones.

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25

Ogunrinde, Isaac O., Collins F. Adetu, Carl A. Moore, Rodney G. Roberts, and Keimargeo McQueen. "Experimental Testing of Bandstop Wave Filter to Mitigate Wave Reflections in Bilateral Teleoperation." Robotics 9, no. 2 (April 11, 2020): 24. http://dx.doi.org/10.3390/robotics9020024.

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A bilateral teleoperation system can become unstable in the presence of a modest time delay. However, the wave variable algorithm provides stable operation for any fixed time delay using passivity arguments. Unfortunately, the wave variable method produces wave reflection that can degrade teleoperation performance when a mismatched impedance exists between the master and slave robot. In this work, we develop a novel bandstop wave filter and experimentally verify that the technique can mitigate the effects of wave reflections in bilaterally teleoperated systems. We apply the bandstop wave filter in the wave domain and filtered the wave signal along the communication channel. We placed the bandstop wave filter in the master-to-slave robot path to alleviate lower frequency components of the reflected signal. With the lower frequency components reduced, wave reflections that degrade teleoperation performance were mitigated and we obtained a better transient response from the system. Results from our experiment show that the bandstop wave filter performed better by 67% when compared to the shaping wave filter respectively.

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26

Abdallah, Rayen Ben, Gael Pages, Damien Vivet, Jordi Vila-Valls, and Eric Chaumette. "Robust Linearly Constrained Square-Root Cubature Kalman Filter for Mismatched Nonlinear Dynamic Systems." IEEE Control Systems Letters 6 (2022): 2335–40. http://dx.doi.org/10.1109/lcsys.2022.3152069.

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27

Blum, R. S., and Y. Zhang. "Analysis of the adaptive matched filter algorithm for cases with mismatched clutter statistics." IEEE Transactions on Signal Processing 47, no. 6 (June 1999): 1715–22. http://dx.doi.org/10.1109/78.765147.

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28

Eck, K., A. R. Brenner, W. Wilhelm, and T. G. Noll. "Verbesserung von Ortsauflösung und Dynamik in der Ultraschallbildgebung durch tiefenabhängige Mismatched-Filter-Pulskompression." Biomedizinische Technik/Biomedical Engineering 42, s2 (1997): 99–100. http://dx.doi.org/10.1515/bmte.1997.42.s2.99.

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29

Tian, Weiming, Linlin Fang, Weidong Li, Na Ni, Rui Wang, Cheng Hu, Hanzhe Liu, and Weigang Luo. "Deep-Learning-Based Multiple Model Tracking Method for Targets with Complex Maneuvering Motion." Remote Sensing 14, no. 14 (July 7, 2022): 3276. http://dx.doi.org/10.3390/rs14143276.

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The effective detection of unmanned aerial vehicle (UAV) targets is of great significance to guarantee national military security and social stability. In recent years, with the development of communication and control technology, the movement of UAVs has become increasingly flexible and complex, presenting diverse trajectory forms and different motion models in different phases. The Gaussian mixture probability hypothesis density filter incorporating the linear Gaussian jump Markov system approach (LGJMS-GMPHD) provides an efficient method for tracking multiple maneuvering targets, as applied to the switching of motions between a set of models in a Markovian chain. However, in practice, the motion model parameters of targets are generally unknown and the model switching is uncertain. When the preset filtering model parameters are mismatched, the tracking performance is dramatically degraded. In this paper, within the framework of the LGJMS-GMPHD filter, a deep-learning-based multiple model tracking method is proposed. First, an adaptive turn rate estimation network is designed to solve the filtering model mismatch caused by unknown turn rate parameters in coordinate turn models. Second, a filter state modification network is designed to solve the large tracking errors in the maneuvering phase caused by uncertain motion model switching. Finally, based on simulations of multiple maneuvering targets in cluttered environments and experimental field data verification, it can be concluded that the proposed method has strong adaptability to multiple maneuvering forms and can effectively improve the tracking performance of targets with complex maneuvering motion.

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An, H., H. Xia, and C. Wang. "Finite-time output tracking control for air-breathing hypersonic vehicles with actuator constraints." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 231, no. 14 (November 13, 2016): 2578–93. http://dx.doi.org/10.1177/0954410016675894.

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This paper designs a finite-time output tracking controller for air-breathing hypersonic vehicles (AHVs) subjected to disturbances and actuator constraints. After proper derivations, the original model is divided into two independent subsystems undergoing mismatched lumped disturbance. A finite-time disturbance observer (FTDO) is employed to estimate the lumped disturbance, while an auxiliary system combined with a command pre-filter is designed to analyze the effect of input saturation caused by the restrained actuators. Based on the FTDO and the auxiliary system, a novel integral sliding surface is constructed and then a chattering-free nonsingular controller is developed to realize finite-time output tracking in spite of mismatched lumped disturbance and input saturation, which is its major merit compared with other existing AHV controllers. A simulation study is carried out to verify the proposed control scheme.

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Jin, Qi Bing, and Rong Li. "A V-Norm Decoupling IMC Method with Filters Based on Inverted Decoupling." Applied Mechanics and Materials 197 (September 2012): 311–15. http://dx.doi.org/10.4028/www.scientific.net/amm.197.311.

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A V-norm Decoupling internal model control (IMC) method with filters based on inverted decoupling for multivariate stable object is proposed in this paper. The actual industrial process is very difficult to obtain an accurate model, which makes the control effect not satisfactory. To solve this problem, the V-norm decoupling controller is designed on the basis of the inverted decoupling, and a filter is added in front of the controller to reduce coupling and increase robustness. Compared with traditional multivariable controller designed method, the method of designing the internal model controller in this paper is simpler and less calculation. Finally, the Wood/Berry model is taken as the simulated object to verify the controller design method is reasonable. The results show that V-norm decoupling internal model controller method is effective and feasible, even the system model is mismatched.

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32

Xu, Leilei, Shenghua Zhou, Hongwei Liu, Huikai Zang, and Lin Ma. "Distributed multiple‐input–multiple‐output radar waveform and mismatched filter design with expanded mainlobe." IET Radar, Sonar & Navigation 12, no. 2 (February 2018): 227–38. http://dx.doi.org/10.1049/iet-rsn.2017.0340.

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Koshevyy, I. V., and Victoria Popova. "Sets of Waveform and Mismatched Filter Pairs for Clutter Suppression in Marine Radar Application." TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation 11, no. 3 (2017): 505–10. http://dx.doi.org/10.12716/1001.11.03.17.

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Sun, Yinghao, Quanhua Liu, Jinjian Cai, and Teng Long. "Fast algorithm for designing unimodular sequence and related mismatched filter with flexible correlation properties." Journal of Engineering 2019, no. 19 (October 1, 2019): 5487–92. http://dx.doi.org/10.1049/joe.2019.0309.

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35

Amami, Mustafa M. "Comparison Between Multi Epipolar Geometry and Conformal 2d Transformation-Based Filters for Optical Robot Navigation." International Journal for Research in Applied Science and Engineering Technology 10, no. 3 (March 31, 2022): 388–98. http://dx.doi.org/10.22214/ijraset.2022.40651.

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Abstract: This research paper comes in a series of comparisons between the Multi Epipolar Geometry-based Filter (M-EGF) and the common filters that are extensively used in Optical Robot Navigation (ORN) for filtering the results of Automatic Image Matching (AIM). The accuracy of ORN depends mainly on the quality of the AIM results. Conformal 2D transformation-based Filter (C-2DF) is a common filter used in ORN applications. However, C-2DF is limited in terms of: time processing, disability to deal AIM data with significant number of outliers, dealing with images taking from different Depths Of Fields (DOF) and difficult view angles. M-EGF has been introduced recently by the author and compared with Single Epipolar Geometry based Filter (S-EGF), showing high ability to provide ORN with precise, trusted, outlier-free, and real time observations. In this paper, M-EGF has been compared with C-2DF using images captured by optical navigation system simulating ORN, which includes 3 cameras synchronized using GPS time. The performance of the two filters has been evaluated in different AIM environments and the automatically filtered results have been compared to precisely manually reviewed matched points using Matlap. Tests show that C-2DF has failed to deal with the AIM results in areas with open, narrow, and confused DOF. Also, they have failed to find out the right mathematical model in data with high rate of mismatched points and images with difficult view angles. C-2DF is also limited in its capability to deal with figures including different scales. With limited DOF and limited rate of errors, C-2DF has provided relatively sufficient results, which can be suitable for ORN in terms of quality and processing time. C-2DF overcomes S-EGF and M-EGF in terms of being not affected by errors in the Exterior Orientation Parameters (EOP) and Interior Orientation Elements (IOE) of cameras, as C-2DF depends on estimating the mathematical model parameters using only image points.

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Sarafin, G., and B. Z. Kaplan. "Comments on "Comments on Mismatched filter design for periodical binary phased signals" by V.P. Ipatov." IEEE Transactions on Aerospace and Electronic Systems 29, no. 3 (July 1993): 1071. http://dx.doi.org/10.1109/7.220964.

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Xu, Leilei, Shenghua Zhou, and Hongwei Liu. "Simultaneous optimization of radar waveform and mismatched filter with range and delay-Doppler sidelobes suppression." Digital Signal Processing 83 (December 2018): 346–58. http://dx.doi.org/10.1016/j.dsp.2018.09.009.

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Liang, Chenxu, Wenchao Xue, Haitao Fang, Xingkang He, and Vijay Gupta. "On consistency and stability of distributed Kalman filter under mismatched noise covariance and uncertain dynamics." Automatica 153 (July 2023): 111022. http://dx.doi.org/10.1016/j.automatica.2023.111022.

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Massamba, Omar Christian, Franck Moukanda Mbango, and Désiré Lilonga-Boyenga. "Four Subbands from Dual Mismatched Wideband Bandpass Filter for 5G/WAS/Wi-Fi/WiMAX/WLAN Applications." International Journal of RF and Microwave Computer-Aided Engineering 2023 (March 14, 2023): 1–13. http://dx.doi.org/10.1155/2023/4713995.

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Based on the simplicity of the design method, this paper presents a new approach for developing matched subbands when splitting two mismatched dual-wideband bandpass filters (BPFs) for the fifth generation (5G), wireless access systems (WAS), wireless fidelity (Wi-Fi), worldwide interoperability for microwave access (WiMAX), wireless local area network (WLAN), radar, and other communication devices. The method’s novelty involves using identical quarter-wavelength resonators terminated by alternated short-and-open stub configurations. Both configurations alternate and describe a perfect symmetry by their location from each other to make the subbands possible in the low-frequency and its harmonic (high-frequency) bandwidths (BW). A stub admittance Y 1 is defined and associated with the mainline section characteristic impedance Z 0 and an operating frequency f 0 . A quality factor Q a p is connected to Y 1 and f 0 to approach the BPF global quality factor Q g initially fixed. The stub characteristic impedance and the mainline one differ, while electric lengths (stub and mainline section) are identical. Using the operating frequency determines physical dimensions, creates harmonic frequencies and the rejected BW, mismatches the main frequency BW, matches the subbands, and creates transmission zero (TZ). Hence, a 28.118-dB stopband that separates the two bandpasses at 9.373 GHz is made. At the same time, the unmatched dual ultrawideband (UWB) covers a large panel of communication systems. The lowest (3.146–5.431) and highest (11.891–14.749) GHz BW exhibit a minimum insertion loss (IL) of 0.656 dB and 3.027 dB. The subbands return losses (RL) are better than 28 dB and 19 dB, respectively, and a flat group delay of 0.205 ns is obtained in the upper band. All subbands adaptation methodology is read from 10 dB of the RL. In that case, the four matched subbands in its lower wideband are 3.327–3.709 GHz and 4.442–5.048 GHz, and in its higher wideband are 11.922–12.486 GHz and 14.281–14.653 GHz. The 2275/2858 MHz is the dual-wideband with a fractional BW 53.282/21.456%. The fabricated prototype has validated the EM-simulations, and Anritsu MS4642B 20 GHz vector network analyzer (VNA) has been used for experimental results by scanning the frequency range 3 GHz–15 GHz. The tested prototype is made with a 1 mm FR4 HTG-175 thickness by considering a dielectric constant of 4.4, and its overall size occupies 22.45 × 5.72 m m 2 ( 0.32 λ 0 × 0.082 λ 0 mm 2 ).

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Sun, Bo, Zhenwei Zhang, Shicai Liu, Xiaobing Yan, and Chengxu Yang. "Integrated Navigation Algorithm Based on Multiple Fading Factors Kalman Filter." Sensors 22, no. 14 (July 6, 2022): 5081. http://dx.doi.org/10.3390/s22145081.

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An integrated navigation algorithm based on a multiple fading factors Kalman filter (MFKF) is proposed to solve the problems that the Kalman filtering (KF) algorithm easily brings about diffusion when the model becomes a mismatched or noisy, and the MFKF accuracy is reduced when the fading factor is overused. Based on the innovation covariance theory, the algorithm designs an improved basis for judging filtering anomalies and makes the timing of the introduction of the fading factor more reasonable by switching the filtering state. Different from the traditional basis of filter abnormality judgment, the improved judgment basis adopts a recursive way to continuously update the estimated value of the innovation covariance to improve the estimation accuracy of the innovation covariance, and an empirical reserve factor for the judgment basis is introduced to adapt to practical engineering applications. By establishing an inertial navigation system (INS)/global navigation satellite system (GNSS) integrated navigation model, the results show that the average positioning accuracy of the proposed algorithm is improved by 26.52% and 7.48%, respectively, compared with the KF and MFKF, and shows better robustness and self-adaptability.

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Ipatov, V. P. "Comments on "Mismatched filter design for periodical binary phased signals" by H. Rohling and W. Plagge." IEEE Transactions on Aerospace and Electronic Systems 27, no. 6 (November 1991): 905–6. http://dx.doi.org/10.1109/7.104257.

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Sato, R., and M. Shinriki. "Simple mismatched filter for binary pulse compression code with small PSL and small S/N loss." IEEE Transactions on Aerospace and Electronic Systems 39, no. 2 (April 2003): 711–18. http://dx.doi.org/10.1109/taes.2003.1207277.

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An, Honglin, Brian Ashton, and Simon Fleming. "Long-period-grating-assisted optical add–drop filter based on mismatched twin-core photosensitive-cladding fiber." Optics Letters 29, no. 4 (February 15, 2004): 343. http://dx.doi.org/10.1364/ol.29.000343.

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Hussain, Shafquat, Abualkasim Bakeer, Ihab S. Mohamed, Mario Marchesoni, and Luis Vaccaro. "Comparative Study of Passivity, Model Predictive, and Passivity-Based Model Predictive Controllers in Uninterruptible Power Supply Applications." Energies 16, no. 15 (July 25, 2023): 5594. http://dx.doi.org/10.3390/en16155594.

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Voltage source converters are widely used in distributed generation (DG) and uninterruptible power supply (UPS) applications. This paper aims to find the controller that performs best when model changes occur in the system, showing insensitivity to parameter variations. A comparison of the finite control set model predictive controller (FCS-MPC), interconnection and damping assignment passivity-based controller (IDA-PBC), and passivity-based model predictive control (PB-MPC) reveals that the PB-MPC provides high resistance to these unexpected LC filter changes in the converter. The second aim of the paper is to reduce the total harmonic distortion (THD) of the output voltage of the three-phase voltage source inverter (VSI). A high total harmonic distortion (THD) value exists in the voltage waveform of the three-phase voltage source inverter (VSI), feeding a non-linear load. A MATLAB simulation was performed using three control techniques for a three-phase VSI feeding: linear load, unbalanced load, and non-linear load. The PB-MPC performs better than the FCS-MPC and IDA-PBC in terms of having a low THD value in the output voltage of the converter under all types of applied loads, improving the THD by up to 30%, and having low variation in THD with mismatched filter parameters, as shown in the bar charts in the results section. Overall, the PB-MPC controller improves the robustness under parameter mismatch and reduces the computational burden. PB-MPC reduces the THD value because it integrates power shaping and the injection of damping resistances into the VSI.

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Zainudin, Zulkarnain, and Sarath Kodagoda. "Monte Carlo Simulations on 2D LRF Based People Tracking using Interactive Multiple Model Probabilistic Data Association Filter Tracker." International Journal of Robotics and Control Systems 2, no. 4 (February 23, 2023): 120–33. http://dx.doi.org/10.31763/ijrcs.v3i1.896.

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Consistency of tracking filter such as Interactive Multiple Model Probabilistic Data Association Filter (IMMPDAF) is the most important factor in targets tracking. Inaccurate tracking capability will lead to poor tracking performance when dealing with multiple people's interactions and occlusions. In order to validate the consistency, Normalized Estimation Error Squared (NEES) and Normalized Innovation Squared (NIS) were evaluated and tested using Monte Carlo experiments for 50 runs. These simulations has proven that the tracker is conditionally consistent on targets tracking despite the fact that it has difficulties on handling occlusions and maneuvering people. NEES requires ground truth of tracking data and predicted data, whereas NIS requires observation and predicted data for Monte Carlo simulations. In NEES simulations, the result emphasizes that state estimation errors of IMMPDAF tracker are inconsistent with filter-calculated covariances especially when dealing with sudden turns in zig-zag motion where quite a large number of points fall outside 95\% probability region. In NIS simulations, IMMPDAF tracker is confirmed to have difficulties to handle multiple targets with a short period of occlusion although a small number of points falls outside of 95\% probability region. Filter tracker is considered mismatched when dealing with zig-zag motion; however, it deemed to be optimistic when dealing with occlusions. As a result, the IMMPDAF tracker has limited capability in monitoring sharp turns under occlusion conditions, although it is acceptable when dealing with occlusions only.

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Kelly, R. J. "GDOP, Ridge Regression and the Kalman Filter." Journal of Navigation 43, no. 03 (September 1990): 409–27. http://dx.doi.org/10.1017/s0373463300014041.

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Multicollinearity and its effect on parameter estimators such as the Kalman filter is analysed using the navigation application as a special example. All position-fix navigation systems suffer loss of accuracy when their navigation landmarks are nearly collinear. Nearly collinear measurement geometry is termed the geometric dilution of position (GDOP). Its presence causes the errors of the position estimates to be highly inflated. In 1970 Hoerl and Kennard developed ridge regression to combat near collinearity when it arises in the predictor matrix of a linear regression model. Since GDOP is mathematically equivalent to a nearly collinear predictor matrix, Kelly suggested using ridge regression techniques in navigation signal processors to reduce the effects of GDOP. The original programme intended to use ridge regression not only to reduce variance inflation but also to reduce bias inflation. Reducing bias inflation is an extension of Hoerl's ridge concept by Kelly. Preliminary results show that ridge regression will reduce the effects of variance inflation caused by GDOP. However, recent results (Kelly) conclude it will not reduce bias inflation as it arises in the navigation problem, GDOP is not a mismatched estimator/model problem. Even with an estimator matched to the model, GDOP may inflate the MSE of the ordinary Kalman filter while the ridge recursive filter chooses a suitable biased estimator that will reduce the MSE. The main goal is obtaining a smaller MSE for the estimator, rather than minimizing the residual sum of squares. This is a different operation than tuning the Kalman filter's dynamic process noise covariance Q, in order to compensate for unmodelled errors. Although ridge regression has not yielded a satisfactory solution to the general GDOP problem, it has provided insight into exactly what causes multicollinearity in navigation signal processors such as the Kalman filter and under what conditions an estimator's performance can be improved.

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Wang, Chenggong, Gen Li, Ruiqi Wang, and Lin Li. "Wheeled Robot Visual Odometer Based on Two-dimensional Iterative Closest Point Algorithm." Journal of Physics: Conference Series 2504, no. 1 (May 1, 2023): 012002. http://dx.doi.org/10.1088/1742-6596/2504/1/012002.

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Abstract According to the two-dimensional motion characteristics of planar motion wheeled robot, the visual odometer was dimensionally reduced in this study. In the feature point matching part of visual odometer, the contour constraint was used to filter out the mismatched feature point pairs (abbreviated as FPP). This method could also filter out the matched FPP, and the feature of FPP was correct color image matches, however, their depth image error was large. This offered higher quality matched FPP for the subsequent interframe motion estimation. Dimension reduction was performed in the interframe motion estimation part, and the two-dimensional Iterative Closest Point (ICP) algorithm was used for camera motion estimation. The experiments indicated that the proposed algorithm effectively improved the computational speed and precision of planar motion wheeled robot visual odometer. This research indicates that the dimension reduction processing of ICP algorithm can effectively improve the operation speed and calculation accuracy of planar motion wheeled robot visual odometry, which provides a good reference and data support for the subsequent research of wheeled robot visual odometry in the future.

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Zhao, Ling, and Jiangshuai Huang. "Smooth control design for adaptive leader-following consensus control of a class of high-order nonlinear systems with time-varying reference and unknown control directions." Transactions of the Institute of Measurement and Control 41, no. 2 (May 2, 2018): 532–39. http://dx.doi.org/10.1177/0142331218765309.

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In this paper, we investigate the distributed adaptive leader-following consensus control for high-order nonlinear multi-agent systems with a time-varying reference trajectory under directed topology, subjected to mismatched unknown parameters and unknown control directions. By introducing local estimators for the bounds of the reference trajectory and a filter for each agent, a new backstepping-based smooth distributed adaptive control protocol is proposed. Meanwhile, a Nussbaum-type function is applied to address the consensus control with unknown control directions. It is shown that global uniform boundedness of all the closed-loop signals and asymptotic output consensus tracking can be achieved. Simulation results are provided to verify the effectiveness of our scheme.

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Chang, Jeang-Lin, and Tsui-Chou Wu. "Dynamic Compensator-Based Output Feedback Controller Design for Uncertain Systems with Adjustable Robustness." Journal of Control Science and Engineering 2018 (2018): 1–9. http://dx.doi.org/10.1155/2018/5806787.

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A low-order dynamics compensator-based output feedback stabilization method for a class of uncertain linear MIMO systems with mismatched disturbances is presented. Since all the system states are not measurable, the proposed controller inherently has low-pass filter property in which it can successfully replace the derivative terms of the system output and hence effectively estimate the input disturbance. The control scheme proposed here can simultaneously consider the input saturation problem and obtain the desired performance. Although the system has unknown uncertainties and disturbances, the uniformly ultimate boundedness of system states in the closed-loop system is analytically shown using the Lyapunov method. Finally, two numerical examples are presented to demonstrate the applicability of the proposed scheme.

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Yu, Wenqi, and Jianwen Chen. "Mismatched filter bank design for radio frequency interference suppression in multiple-input multiple-output over-the-horizon radar." Signal Processing 175 (October 2020): 107636. http://dx.doi.org/10.1016/j.sigpro.2020.107636.

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