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Academic literature on the topic 'Filtre de Rauch'

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Published: 4 May 2024

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Journal articles on the topic "Filtre de Rauch"

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Xu, Yuan, and Xiyuan Chen. "Online cubature Kalman filter Rauch–Tung–Striebel smoothing for indoor inertial navigation system/ultrawideband integrated pedestrian navigation." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 232, no. 4 (May 31, 2017): 390–98. http://dx.doi.org/10.1177/0959651817711627.

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Accurate position information of the pedestrians is required in many applications such as healthcare, entertainment industries, and military field. In this work, an online Cubature Kalman filter Rauch–Tung–Striebel smoothing algorithm for people’s location in indoor environment is proposed using inertial navigation system techniques with ultrawideband technology. In this algorithm, Cubature Kalman filter is employed to improve the filtering output accuracy; then, the Rauch–Tung–Striebel smoothing is used between the ultrawideband measurements updates; finally, the average value of the corrected inertial navigation system error estimation is output to compensate the inertial navigation system position error. Moreover, a real indoor test has been done for assessing the performance of the proposed model and algorithm. Test results show that the proposed model is able to reduce the sum of the absolute position error between the east direction and the north direction by about 32% compared with only the ultrawideband model, and the performance of the online Cubature Kalman filter Rauch–Tung–Striebel smoothing algorithm is slightly better than the off-line mode.
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Yang, Lan. "Fourier-Hermite Rauch-Tung-Striebel Smoothing Optimized Particle Filter." Journal of Information and Computational Science 12, no. 10 (July 1, 2015): 4031–46. http://dx.doi.org/10.12733/jics20106133.

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Goll, Stanislaw, and Elena Zakharova. "An active beacon-based leader vehicle tracking system." ACTA IMEKO 8, no. 4 (December 16, 2019): 33. http://dx.doi.org/10.21014/acta_imeko.v8i4.685.

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This article focuses on mobile robot convoying along a path travelled by a certain leader carrying the active ultrasonic beacon. The robot is equipped with the three-dimensional receiver array in order to receive both the ultrasonic wave and the RF wave marking the beginning of the measurement cycle. To increase measurement reliability, each receiver contains two independent measurement channels with automatic gain control. The distance measurements are pre-processed in order to identify the artefacts and then either remove them or replace them with the interpolated value. To estimate the position of the beacon in the robot’s local coordinate system, several methods are used, including the least squares method with subsequent exponential smoothing, the linear Kalman filter, the Rauch-Tung-Striebel smoother, the extended Kalman Filter, the unscented Kalman filter, and the particle filter. The experiments were undertaken in order to estimate the estimation method preferable for following the leader’s path.
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Nguyen, Tran, and Du Kim. "GLMB Tracker with Partial Smoothing." Sensors 19, no. 20 (October 12, 2019): 4419. http://dx.doi.org/10.3390/s19204419.

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In this paper, we introduce a tracking algorithm based on labeled Random Finite Sets (RFS) and Rauch–Tung–Striebel (RTS) smoother via a Generalized Labeled Multi-Bernoulli (GLMB) multi-scan estimator to track multiple objects in a wide range of tracking scenarios. In the forward filtering stage, we use the GLMB filter to generate a set of labels and the association history between labels and the measurements. In the trajectory-estimating stage, we apply a track management strategy to eliminate tracks with short lifespan compared to a threshold value. Subsequently, we apply the information of trajectories captured from the forward GLMB filtering stage to carry out standard forward filtering and RTS backward smoothing on each estimated trajectory. For the experiment, we implement the tracker with standard GLMB filter, the hybrid track-before-detect (TBD) GLMB filter, and the GLMB filter with objects spawning. The results show improvements in tracking performance for all implemented trackers given negligible extra computational effort compared to standard GLMB filters.
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Ali, Wasiq, Yaan Li, Zhe Chen, Muhammad Asif Zahoor Raja, Nauman Ahmed, and Xiao Chen. "Application of Spherical-Radial Cubature Bayesian Filtering and Smoothing in Bearings Only Passive Target Tracking." Entropy 21, no. 11 (November 7, 2019): 1088. http://dx.doi.org/10.3390/e21111088.

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In this paper, an application of spherical radial cubature Bayesian filtering and smoothing algorithms is presented to solve a typical underwater bearings only passive target tracking problem effectively. Generally, passive target tracking problems in the ocean environment are represented with the state-space model having linear system dynamics merged with nonlinear passive measurements, and the system is analyzed with nonlinear filtering algorithms. In the present scheme, an application of spherical radial cubature Bayesian filtering and smoothing is efficiently investigated for accurate state estimation of a far-field moving target in complex ocean environments. The nonlinear model of a Kalman filter based on a Spherical Radial Cubature Kalman Filter (SRCKF) and discrete-time Kalman smoother known as a Spherical Radial Cubature Rauch–Tung–Striebel (SRCRTS) smoother are applied for tracking the semi-curved and curved trajectory of a moving object. The worth of spherical radial cubature Bayesian filtering and smoothing algorithms is validated by comparing with a conventional Unscented Kalman Filter (UKF) and an Unscented Rauch–Tung–Striebel (URTS) smoother. Performance analysis of these techniques is performed for white Gaussian measured noise variations, which is a significant factor in passive target tracking, while the Bearings Only Tracking (BOT) technology is used for modeling of a passive target tracking framework. Simulations based experiments are executed for obtaining least Root Mean Square Error (RMSE) among a true and estimated position of a moving target at every time instant in Cartesian coordinates. Numerical results endorsed the validation of SRCKF and SRCRTS smoothers with better convergence and accuracy rates than that of UKF and URTS for each scenario of passive target tracking problem.
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Razali, Saifudin, Keigo Watanabe, Shoichi Maeyama, and Kiyotaka Izumi. "An Unscented Rauch-Tung-Striebel Smoother for a Vehicle Localization Problem." Journal of Advanced Computational Intelligence and Intelligent Informatics 15, no. 7 (September 20, 2011): 860–68. http://dx.doi.org/10.20965/jaciii.2011.p0860.

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The Unscented Kalman Filter (UKF) has become relatively a new technique used in a number of nonlinear estimation problems to overcome the limitation of Taylor series linearization. It uses a deterministic sampling approach known as sigma points to propagate nonlinear systems and has been discussed in many literature. However, a nonlinear smoothing problem has received less attention than the filtering problem. Therefore, in this article an unscented smoother based on Rauch-Tung-Striebel formis examined for discretetime dynamic systems. It has advantages available in unscented transformation over approximation by Taylor expansion as well as its benefit in derivative free. To show the effectiveness of the proposed method, the unscented smoother is implemented and evaluated through a vehicle localization problem.
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Gao, Zhouzheng, Lin Chen, Yu Min, Jie Lv, and You Li. "Evaluation on Nonholonomic Constraints and Rauch–Tung–Striebel Filter-Enhanced UWB/INS Integration." Mathematical Problems in Engineering 2020 (October 13, 2020): 1–14. http://dx.doi.org/10.1155/2020/7274181.

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Precise and seamless positioning is becoming a basic requirement for the Internet of Things (IoT). However, there is a gap for precise positioning in Global Navigation Satellite System- (GNSS-) denied indoor areas. Thus, a multisensor integration system based on ultrawide-band (UWB), inertial navigation system (INS), nonholonomic constraints (NHCs), and Rauch–Tung–Striebel (RTS) smoother is proposed. In this system, the UWB performs as the major precise positioning system, while the INS bridges the UWB-degraded and UWB-denied periods. Meanwhile, the NHC restrains the drifts of INS, while the RTS smoother further upgrades the navigation accuracy. The contributions of this article are as follows. First, it presents the robust least square- (RLS-) based UWB positioning. The proposed method is effective in mitigating the impact of the effect of non-line-of-sight (NLOS), which is one of the most significant error sources for UWB positioning. Second, it derives the mathematical model of the UWB/INS/NHC/RTS integration, which is new compared to the existing approaches. Results illustrate that the proposed system can provide centimeter-level positioning accuracy, millimeter-level velocimetry accuracy, and accuracy of better than 0.05 and 0.15 degrees for horizontal and vertical attitude angles, respectively. Even in the scenario with short-term UWB outages (30 s), simulation results show that the three-dimensional position still can be better than 20 cm. Such accuracy values reach the state-of-the-art for indoor positioning using UWB and INS.
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Koller, Tom L., and Udo Frese. "The Interacting Multiple Model Filter and Smoother on Boxplus-Manifolds." Sensors 21, no. 12 (June 17, 2021): 4164. http://dx.doi.org/10.3390/s21124164.

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Hybrid systems are subject to multiple dynamic models, or so-called modes. To estimate the state, the sequence of modes has to be estimated, which results in an exponential growth of possible sequences. The most prominent solution to handle this is the interacting multiple model filter, which can be extended to smoothing. In this paper, we derive a novel generalization of the interacting multiple filter and smoother to manifold state spaces, e.g., quaternions, based on the boxplus-method. As part thereof, we propose a linear approximation to the mixing of Gaussians and a Rauch–Tung–Striebel smoother for single models on boxplus-manifolds. The derivation of the smoother equations is based on a generalized definition of Gaussians on boxplus-manifolds. The three, novel algorithms are evaluated in a simulation and perform comparable to specialized solutions for quaternions. So far, the benefit of the more principled approach is the generality towards manifold state spaces. The evaluation and generic implementations are published open source.
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Kwon, Bokyu. "Adaptive Fading-Memory Receding-Horizon Filters and Smoother for Linear Discrete Time-Varying Systems." Applied Sciences 12, no. 13 (July 1, 2022): 6692. http://dx.doi.org/10.3390/app12136692.

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In this paper, an adaptive fading-memory receding-horizon (AFMRH) filter is proposed by combining the receding-horizon structure and the adaptive fading-memory method. In the recent finite horizon, state error covariance is adapted with an adaptive fading factor; then the process noise covariance matrix adaption is realized by adjusting the properties of systems. An AFMRH fixed-lag smoother is also proposed by combining the proposed AFMRH filtering algorithm and a Rauch–Tung–Striebel smoothing algorithm to improve the estimation accuracy. Because the proposed AFMRH filter and smoother are reduced to the optimal receding-horizon (RH) filter and smoother when all measurements have the same weight, the proposed adaptive RH estimators could provide a more general solution than the optimal RH filter and smoother. To reduce the complexity and improve the estimation performance of the proposed RH estimators, an adaptive horizon adjustment method and a switching filtering algorithm based on an adaptive fading factor are also proposed. In particular, the proposed adaptive horizon adjustment method is designed to be computationally efficient, which makes it suitable for online and real-time applications. Through computer simulation, the performance and adaptiveness of the proposed approaches were verified by comparing them with existing fading-memory approaches.
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Tchegho, A., H. Gräb, U. Schlichtmann, H. Mattes, and S. Sattler. "Analyse und Untersuchung der Quantisierungseffekte beim Goertzel-Filter." Advances in Radio Science 7 (May 18, 2009): 73–81. http://dx.doi.org/10.5194/ars-7-73-2009.

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Abstract. Digitale Filter können in praktischen Anwendungen nur mit endlicher Wortbreite realisiert werden. Deshalb müssen Quantisierungseffekte verstanden werden, um die Eigenschaften und die Performanz der digitalen Filter geeignet einstellen zu können. Die am stärksten beeinflussten Aspekte sind neben Frequenzgang, die Stabilität und das Signal-Rausch-Verhältnis. Zu geringe Wortbreiten führen zu drastischen Veränderungen der Filtereigenschaften. Eine zu konservativ gewählte Wortbreite hingegen, erhöht die Größe und somit die Anzahl der Operationen des Filters unnötigerweise. Ziel dieses Beitrages ist es, für eine bestimmte Filterklasse optimale Wortbreiten zu finden, welche sowohl die Anzahl der Berechnungen und damit Operationen minimieren als auch sicherstellen, dass vorgegebene Toleranzbereiche für spezifizierte Filtereigenschaften eingehalten werden können. Die Untersuchungen werden an einem Goertzel-Filter durchgeführt, welches aufgrund seiner effizienten Eigenschaften besonders für die spektrale Bewertung von Mixed-Signal Schaltungen und Systemen geeignet ist.
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Dissertations / Theses on the topic "Filtre de Rauch"

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Jolivet, Sylvain. "Limitations et opportunités des circuits actifs pour la réalisation d’un filtrage RF Haute performance et accordable en fréquence pour les récepteurs TV." Limoges, 2011. https://aurore.unilim.fr/theses/nxfile/default/56d5de2a-ced2-41b7-a0b5-fd2b83722f0a/blobholder:0/2011LIMO4027.pdf.

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The present manuscript studies the limitations and the opportunities resulting in using fully-active circuits as an alternative to classical passive solutions for the realization of an RF filtering for TV tuners. This RF filtering has to be frequency tunable, selective and high performances in terms of noise and linearity. After the study of the state-of-the-art, two structures of filter are studied in details and simulated on a second order bandpass topology which best fulfills the required specifications. Proposed Gm-C filters have interesting performances but are limited by the gyrator which is the main source of degradation of the RF signal in this structure. A Rauch filter is also proposed with the purpose of designing a highly linear filter to increase the dynamic range. An original feedback allows using this filter with a good selectivity – gain trade-off, as well as high RF performances. This filter has been integrated on silicon and measured in laboratory, leading to perfect agreement with simulations. Proposed Gm-C and Rauch structures are compared to state-of-the-art results from the literature by means of an innovative figure-of-merit. An interesting perspective to this work is proposed though the study of N-path filters which exhibit encouraging results but may require important changes in the TV tuner architecture to be used at full potential
La présente thèse étudie les limitations et les opportunités résultant de l’utilisation de circuits purement actifs comme alternative aux circuits passifs classiques pour la réalisation d’un filtrage RF pour récepteur TV. Ce filtrage RF doit être accordable en fréquence, sélectif et à hautes performances en termes de bruit et de linéarité. Après étude de l’état de l’art, deux structures de filtres ont été étudiées plus en détails et simulées, sur une topologie passe bande du second ordre qui est celle qui répond le mieux à nos spécifications. Les filtres Gm-C propose��s ont des performances intéressantes mais limitées car le gyrateur dégrade le signal RF. Un filtre de Rauch est proposé par ailleurs avec le but de créer un filtre hautement linéaire pour augmenter la dynamique. Une rétroaction originale permet l’utilisation de ce filtre avec un bon compromis sélectivité – amplification, ainsi que de très bonnes performances RF. Ce filtre a été réalisé sur silicium et mesuré en laboratoire, menant à une très bonne corrélation des résultats. Enfin, les deux structures proposées ont été comparées à l’état de l’art de la littérature grâce à une figure de mérite. Une perspective intéressante à ce travail est également introduite à travers les filtres N-path, qui fournissent des résultats encourageants mais qui nécessitent un remaniement de l’architecture du récepteur TV
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Book chapters on the topic "Filtre de Rauch"

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Drubek-Meyer, Natascha. "Schädel, Objets trouvés und fiktiver Rauch: Wie und wozu Orte der Vernichtung filmen?" In Filme über Vernichtung und Befreiung, 121–78. Wiesbaden: Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-30531-4_3.

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Conference papers on the topic "Filtre de Rauch"

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Tran, MinhTri, Anna Kuwana, and Haruo Kobayashi. "Study of Rauch Low-Pass Filters using Pascal's Triangle." In 2021 International Conference on Electronics, Information, and Communication (ICEIC). IEEE, 2021. http://dx.doi.org/10.1109/iceic51217.2021.9369765.

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Tran, MinhTri, Anna Kuwana, and Haruo Kobayashi. "Study of Helix Functions and Multi-Source Rauch Filters." In 2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC). IEEE, 2021. http://dx.doi.org/10.1109/ccwc51732.2021.9375957.

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Ciciotti, F., F. Fary, M. De Matteis, and A. Baschirotto. "28nm Implementation Aspects of a 0.9V 75MHz 4th-Order Rauch Analog Filter." In 2019 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2019. http://dx.doi.org/10.1109/iscas.2019.8702354.

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Zhu, Wenhao, Biao Li, and Hao Zhong. "Lithium-Ion Battery Module Internal Temperature Estimation Based on Rauch-Tung-Striebel Smoothing Technique." In WCX SAE World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2023. http://dx.doi.org/10.4271/2023-01-0770.

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<div class="section abstract"><div class="htmlview paragraph">The temperature monitoring of the lithium-ion battery is crucial for the advanced battery thermal management systems (BTMS) to improve performance and ensure operational safety and reliability of the battery system. In real applications, the core temperature of the battery is unfortunately unmeasurable due to the impracticality of placing a sensor inside the core, and has to be estimated online in real-time. Meanwhile, only the measurement of battery surface temperature can not meet the need for advanced BTMS due to the impact of the large temperature gradient between the surface and internal in high power applications. The battery core temperature estimation will become challenging when encountering sensor bias and noise. In order to improve the accuracy and stability of battery core temperature estimation, the method based on the Rauch-Tung-Striebel smoothing technique and unscented Kalman filter is applied to reconstruct the core temperature for application in battery management systems. The smoothing process can effectively further reduce its estimation error. The unmeasurable parameters in the nonlinear thermal model are identified by the optimization. The electric-thermal coupling model is validated through experiments and CFD simulations. The simulation results show that the average errors of different battery core temperatures are less than 1K.</div></div>
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Budyakov, P. S., I. V. Pakhomov, and S. G. Krutchinsky. "Modified rauch RC-filter with compensation of the influence of gain-bandwidth product of op amp." In 2015 International Siberian Conference on Control and Communications (SIBCON). IEEE, 2015. http://dx.doi.org/10.1109/sibcon.2015.7147011.

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