Academic literature on the topic 'Adaptive equalizer'

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Journal articles on the topic "Adaptive equalizer"

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Simerjeet Kaur, Dr Kamal Kumar Sharma, and Mr. Navnidhi Sharma. "Analysis of BER Improvement of Adaptive Equalizer using CE and STB code." International Journal of Research in Informative Science Application & Techniques (IJRISAT) 3, no. 6 (June 25, 2019): 44–50. http://dx.doi.org/10.46828/ijrisat.v3i6.132.

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In a wireless communication channel, when the modulation bandwidth is exceeding the coherence bandwidth ISI takes place as the transmitted pulses are spread into the adjacent symbols. To combat the effects of ISI and noise and to reconstruct the signal and minimize Bit Error Rate (BER), the adaptive channel equalizer is used at the receiver end. Various kinds of interferences in a communication channel exists like Inter symbol Interference, Multipath Interference and Additive Interference which deals with the design of an Adaptive Equalizer. The idea of the equalizer is to build filter in the receiver that counter acts the effect of the channel. In essence, the equalizer must “unscatter” the impulse response and can be stated as the goal of designing the equalizer E so that the impulse response of the combined channel and equalizer CE has a single spike. We investigate channel equalization and introduce hierarchical and adaptive nonlinear channel equalization algorithms that are highly efficient and provide significantly enhanced bit error rate (BER) performance. Due to the high complexity of nonlinear equalizers and poor performance of linear ones, to equalize highly difficult channels, we employ piecewise linear equalizers.
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Pinchas, Monika. "Convolutional Noise PDF at the Convergence State of a Blind Adaptive Equalizer." MATEC Web of Conferences 210 (2018): 05003. http://dx.doi.org/10.1051/matecconf/201821005003.

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In the literature, the convolutional noise obtained at the output of a blind adaptive equalizer, is often modeled as a Gaussian process during the latter stages of the deconvolution process where the process is close to optimality. However, up to now, no strong mathematical basis was given supporting this phenomenon. Furthermore, no closed-form or closed-form approximated expression is given that shows what are the constraints on the system’s parameters (equalizer’s tap-length, input signal statistics, channel power, chosen equalization method and step-size parameter) for which the assumption of a Gaussian model for the convolutional noise holds. In this paper, we consider the two independent quadrature carrier input case and type of blind adaptive equalizers where the error that is fed into the adaptive mechanism which updates the equalizer’s taps can be expressed as a polynomial function of the equalized output up to order three. We show based on strong mathematical basis that the convolutional noise pdf at the latter stages of the deconvolution process where the process is close to optimality, is approximately Gaussian if complying on some constraints depending on the step-size parameter, input constellation statistics, channel power, chosen equalization method and equalizer’s tap-length. Simulation results confirm our findings.
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Sirithummachak, P., and C. Benjangkaprasert. "Adaptive Equalizer for DS-CDMA Multi-User Communication System Using Sign-Algorithm Based on Laguerre Filter Structure." Applied Mechanics and Materials 548-549 (April 2014): 1231–34. http://dx.doi.org/10.4028/www.scientific.net/amm.548-549.1231.

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This paper proposes a sign-algorithm based on adaptive Laguerre filter structure for improving the performance of the direct sequence-code division multiple access (DS-CDMA) communication system. The proposed adaptive equalizer employs a combination of sign and least mean square (LMS) algorithms to minimizing the effect of inter-symbol interference (ISI) that arises due to multipath propagation, and the computational complexity of equalizer. The performance of proposed equalizer was compared with traditional equalizers such as LMS and RLS algorithms in terms of varying path. The function detail and performance results of the proposed equalizer are described by computer simulations in terms of the bit error rate (BER).
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Bouguerra, Fateh, and Lamir Saidi. "An Efficient ANN Interference Cancelation for High Order Modulation over Rayleigh Fading Channel." Journal of Telecommunications and Information Technology 8 (December 28, 2018): 75–80. http://dx.doi.org/10.26636/jtit.2018.125718.

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High order modulation (HOM) presents a key challenge in increasing spectrum efficiency in 4G and upcoming 5G communication systems. In this paper, two non-linear adaptive equalizer techniques based on multilayer perceptron (MLP) and radial basis function (RBF) are designed and applied on HOM to optimize its performance despite its high sensitivity to noise and channel distortions. The artificial neural network’s (ANN) adaptive equalizer architectures and learning methods are simplified to avoid more complexity and to ensure greater speed in symbol decision making. They will be compared with the following popular adaptive filters: least mean square (LMS) and recursive least squares (RLS), in terms of bit error rate (BER) and minimum square error (MSE) with 16, 64, 128, 256, 512 and 1024 quadrature amplitude modulation (QAM). By that, this work will show the advantage that the MLP equalizer has, in most cases, over RBF and traditional linear equalizers.
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Zerdoumi, Zohra, Djamel Chikouche, and Djamel Benatia. "Multilayer Perceptron Based Equalizer with an Improved Back Propagation Algorithm for Nonlinear Channels." International Journal of Mobile Computing and Multimedia Communications 7, no. 3 (July 2016): 16–31. http://dx.doi.org/10.4018/ijmcmc.2016070102.

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Neural network based equalizers can easily compensate channel impairments; such additive noise and inter symbol interference (ISI). The authors present a new approach to improve the training efficiency of the multilayer perceptron (MLP) based equalizer. Their improvement consists on modifying the back propagation (BP) algorithm, by adapting the activation function in addition to the other parameters of the MLP structure. The authors report on experiment results evaluating the performance of the proposed approach namely the back propagation with adaptive activation function (BPAAF) next to the BP algorithm. To further prove its effectiveness, the proposed approach is also compared beside a so known nonlinear equalizer explicitly the multilayer perceptron with decision feedback equalizer MLPDFE. The authors consider various performance measures specifically: signal resorted quality, lower steady state MSE reached and minimum bit error rate (BER) achieved, where nonlinear channel equalization problems are employed.
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Lucky, R. W. "The adaptive equalizer." IEEE Signal Processing Magazine 23, no. 3 (May 2006): 104–7. http://dx.doi.org/10.1109/msp.2006.1628883.

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Bhardwaj, Sumit, DR Vinod Shokeen, and Arun kumar. "A Review on Adaptive Equalizer Algorithms." International Journal of Scientific Research 3, no. 7 (June 1, 2012): 187–89. http://dx.doi.org/10.15373/22778179/july2014/59.

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Simerjeet Kaur, Dr Kamal Kumar Sharma, and Mr Navnidhi Sharma. "Literature Review on BER Improvement of Adaptive Equalizer." International Journal of Research in Informative Science Application & Techniques (IJRISAT) 3, no. 5 (May 15, 2019): 12–20. http://dx.doi.org/10.46828/ijrisat.v3i5.133.

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Channel equalization is an important aspect in high speed digital communication required for efficient and reliable data recovery and reception when the data is transmitted over band-limited channel subjected to noise and interference. We investigate channel equalization and introduce hierarchical and adaptive nonlinear channel equalization algorithms that are highly efficient and provide significantly improved bit error rate (BER) performance. Due to the high complexity of nonlinear equalizers and poor performance of linear ones, to equalize highly difficult channels, we employ piecewise linear equalizers.
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Wenqian, Huang, and Ding Wenrui. "Adaptive Equalizer Design for Unmanned Aircraft Vehicle Image Transmission over Relay Channels." Wireless Communications and Mobile Computing 2018 (2018): 1–10. http://dx.doi.org/10.1155/2018/5497926.

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A novel length adaptive method is proposed for time domain equalizer by taking the channel attenuation ratio between different multipath components into account in UAV-UAV and UAV-ground channels. Then, considering received image quality, the minimum bit error ratio (MBER) criterion is exploited to design adaptive equalizers for both amplify-and-forward (AF) and decode-and-forward (DF) relaying systems by the proposed length adaptive method. Results show that proposed MBER adaptive equalizers outperform the traditional ones in both AF relaying and DF relaying as channel attenuation ratio in UAV-ground channel increases. Moreover, DF outperforms AF as channel attenuation ratio in UAV-UAV channel increases. Furthermore, bit error ratio (BER) and peak signal-to-noise ratio (PSNR) performances in both AF and DF are evaluated to show the enhancement by the proposed MBER adaptive equalizers.
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ZERDOUMI, Zohra, Fadila BENMEDDOUR, Latifa ABDOU, and Djamel BENATIA. "An Adaptive Sigmoidal Activation Function for Training Feed Forward Neural Network Equalizer." Eurasia Proceedings of Science Technology Engineering and Mathematics 14 (December 31, 2021): 1–7. http://dx.doi.org/10.55549/epstem.1050144.

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Feed for word neural networks (FFNN) have attracted a great attention, in digital communication area. Especially they are investigated as nonlinear equalizers at the receiver, to mitigate channel distortions and additive noise. The major drawback of the FFNN is their extensive training. We present a new approach to enhance their training efficiency by adapting the activation function. Adapting procedure for activation function extensively increases the flexibility and the nonlinear approximation capability of FFNN. Consequently, the learning process presents better performances, offers more flexibility and enhances nonlinear capability of NN structure thus the final state kept away from undesired saturation regions. The effectiveness of the proposed method is demonstrated through different challenging channel models, it performs quite well for nonlinear channels which are severe and hard to equalize. The performance is measured throughout, convergence properties, minimum bit error achieved. The proposed algorithm was found to converge rapidly, and accomplish the minimum steady state value. All simulation shows that the proposed method improves significantly the training efficiency of FFNN based equalizer compared to the standard training one.
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Dissertations / Theses on the topic "Adaptive equalizer"

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Senol, Sinan. "Performance Comparison Of Adaptive Decision Feedback Equalizer And Blind Decision Feedback Equalizer." Master's thesis, METU, 2004. http://etd.lib.metu.edu/upload/1023746/index.pdf.

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The Decision Feedback Equalizer (DFE) is a known method of channel equalization which has performance superiority over linear equalizer. The best performance of DFE is obtained, commonly, with training period which is used for initial acquisiton of channel or recovering changes in the channel. The training period requires a training sequence which reduces the bit transmission rate or is not possible to send in most of the situations. So, it is desirable to skip the training period. The Unsupervised (Blind) DFE (UDFE) is such a DFE scheme which has no training period. The UDFE has two modes of operation. In one mode, the UDFE uses Constant Modulus Algorithm (CMA) to perform channel acquisition, blindly. The other mode is the same as classical decision-directed DFE. This thesis compares the performances of the classical trained DFE method and the UDFE. The performance comparison is done in some channel environments with the problem of timing error present in the received data bearing signal. The computer aided simulations are done for two stationary channels, a time-varying channel and a frequency selective Rayleigh fading channel to test the performance of the relevant equalizers. The test results are evaluted according to mean square error (MSE), bit-error rate (BER), residual intersymbol interference (RISI) performances and equalizer output diagrams. The test results show that the UDFE has an equal or, sometimes, better performance compared to the trained DFE methods. The two modes of UDFE enable it to solve the absence of training sequence.
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Mohanty, Nirode C. "ADAPTIVE EQUALIZER FOR M-ARY PSK MODULATION." International Foundation for Telemetering, 1985. http://hdl.handle.net/10150/615721.

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International Telemetering Conference Proceedings / October 28-31, 1985 / Riviera Hotel, Las Vegas, Nevada
An adaptive equalizer, based on a minimum mean square error criterion, has been derived for the purpose of extracting PSK signals transmitted through an unknown and asymmetric channel. The weights of the equalizer are obtained by using a simple formula containing the transform of the parallel channels. The performance of the equalizer is expressed in terms of the variance of the estimation error. The error is shown to be much less than that of the direct demodulated data.
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Roy, Tamoghna. "BER Modeling for Interference Canceling Adaptive NLMS Equalizer." Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/78055.

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Adaptive LMS equalizers are widely used in digital communication systems for their simplicity in implementation. Conventional adaptive filtering theory suggests the upper bound of the performance of such equalizer is determined by the performance of a Wiener filter of the same structure. However, in the presence of a narrowband interferer the performance of the LMS equalizer is better than that of its Wiener counterpart. This phenomenon, termed a non-Wiener effect, has been observed before and substantial work has been done in explaining the underlying reasons. In this work, we focus on the Bit Error Rate (BER) performance of LMS equalizers. At first a model – the Gaussian Mixture (GM) model – is presented to estimate the BER performance of a Wiener filter operating in an environment dominated by a narrowband interferer. Simulation results show that the model predicts BER accurately for a wide range of SNR, ISR, and equalizer length. Next, a model similar to GM termed the Gaussian Mixture using Steady State Weights (GMSSW) model is proposed to model the BER behavior of the adaptive NLMS equalizer. Simulation results show unsatisfactory performance of the model. A detailed discussion is presented that points out the limitations of the GMSSW model, thereby providing some insight into the non-Wiener behavior of (N)LMS equalizers. An improved model, the Gaussian with Mean Square Error (GMSE), is then proposed. Simulation results show that the GMSE model is able to model the non-Wiener characteristics of the NLMS equalizer when the normalized step size is between 0 and 0.4. A brief discussion is provided on why the model is inaccurate for larger step sizes.
Master of Science
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Wickert, Mark, Shaheen Samad, and Bryan Butler. "AN ADAPTIVE BASEBAND EQUALIZER FOR HIGH DATA RATE BANDLIMITED CHANNELS." International Foundation for Telemetering, 2006. http://hdl.handle.net/10150/604050.

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ITC/USA 2006 Conference Proceedings / The Forty-Second Annual International Telemetering Conference and Technical Exhibition / October 23-26, 2006 / Town and Country Resort & Convention Center, San Diego, California
Many satellite payloads require wide-band channels for transmission of large amounts of data to users on the ground. These channels typically have substantial distortions, including bandlimiting distortions and high power amplifier (HPA) nonlinearities that cause substantial degradation of bit error rate performance compared to additive white Gaussian noise (AWGN) scenarios. An adaptive equalization algorithm has been selected as the solution to improving bit error rate performance in the presence of these channel distortions. This paper describes the design and implementation of an adaptive baseband equalizer (ABBE) utilizing the latest FPGA technology. Implementation of the design was arrived at by first constructing a high fidelity channel simulation model, which incorporates worst-case signal impairments over the entire data link. All of the modem digital signal processing functions, including multirate carrier and symbol synchronization, are modeled, in addition to the adaptive complex baseband equalizer. Different feedback and feed-forward tap combinations are considered as part of the design optimization.
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Schumacher, Robert G. Jr. "An Efficient FPGA Implementation of a Constant Modulus Algorithm Equalizer for Wireless Telemetry." University of Dayton / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1417738709.

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Narayanan, Anand. "Eye opening monitor for optimized self-adaptation of low-power equalizers in multi-gigabit serial links." Thesis, Linköpings universitet, Elektroniksystem, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-106580.

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In modern day communication systems, there is a constant demand for increase in transmission rates. This is however limited by the bandwidth limitation of the channel. Inter symbol interference (ISI) imposes a great threat to increasing data rates by degrading the signal quality. Equalizers are used at the receiver to compensate for the losses in the channel and thereby greatly mitigate ISI. Further, an adaptive equalizer is desired which can be used over a channel whose response is unknown or is time-varying. A low power equalizing solution in a moderately attenuated channel is an analog peaking filter which boosts the signal high frequency components. Such conventional continuous time linear equalizers (CTLE) provide a single degree of controllability over the high frequency boost. A more complex CTLE has been designed which has two degrees of freedom by controlling the high frequency boost as well as the range of frequencies over which the boost is applied. This extra degree of controllability over the equalizer response is desired to better adapt to the varying channel response and result in an equalized signal with a wider eye opening. A robust adaptation technique is necessary to tune the equalizer characteristics. Some of the commonly used techniques for adaptation of CTLEs are based on energy comparison criterion in the frequency domain. But the adaptation achieved using these techniques might not be optimal especially for an equalizer with two degrees of controllability. In such cases an eye opening monitor (EOM) could be used which evaluates the actual signal quality in time domain. The EOM gives an estimate on the signal quality by measuring the eye opening of the equalized signal in horizontal and vertical domain. In this thesis work a CTLE with two degrees of freedom with an EOM based adaptation system has been implemented.
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Teekapakvisit, Chakree. "Low Complexity Adaptive Iterative Receivers for Layered Space-Time Coded and CDMA Systems." University of Sydney, 2007. http://hdl.handle.net/2123/1776.

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Doctor of Philosophy(PhD)
In this thesis, we propose and investigate promising approaches for interference mitigation in multiple input multiple output (MIMO) and code division multiple access (CDMA) systems. Future wireless communication systems will have to achieve high spectral efficiencies in order to meet increasing demands for huge data rates in emerging Internet and multimedia services. Multiuser detection and space diversity techniques are the main principles, which enable efficient use of the available spectrum. The main limitation for the applicability of the techniques in these practical systems is the high complexity of the optimal receiver structures. The research emphasis in this thesis is on the design of a low complexity interference suppression/cancellation algorithm. The most important result of our research is the novel design of interference cancellation receivers which are adaptive and iterative and which are of low computational complexity. We propose various adaptive iterative receivers, based on a joint adaptive iterative detection and decoding algorithm. The proposed receiver can effectively suppress and cancel co-channel interference from the adjacent antennas in the MIMO system with a low computation complexity. The proposed adaptive detector, based on the adaptive least mean square (LMS) algorithm, is investigated and compared with the non-adaptive iterative receiver. Since the LMS algorithm has a slow convergence speed, a partially filtered gradient LMS (PFGLMS) algorithm, which has a faster convergence speed, is proposed to improve the convergence speed of the system. The performance and computational complexity of this receiver are also considered. To further reduce the computational complexity, we apply a frequency domain adaptation technique into the adaptive iterative receivers. The system performance and complexity are investigated. It shows that the computational complexity of the frequency domain based receiver is significantly lower than that of the time domain based receiver with the same system performance. We also consider applications of MIMO techniques in CDMA systems, called MIMO-CDMA. In the MIMO-CDMA, the presence of the co-channel interference (CCI) from the adjacent antennas and multiple access interference (MAI) from other users significantly degrades the system performance. We propose an adaptive iterative receiver, which provides the capability to effectively suppress the interference and cancel the CCI from the adjacent antennas and the MAI from other users so as to improve the system performance. The proposed receiver structure is also based on a joint adaptive detection and decoding scheme. The adaptive detection scheme employs an adaptive normalized LMS algorithm operating in the time and frequency domain. We have investigated and compared their system performance and complexity. Moreover, the system performance is evaluated by using a semi-analytical approach and compared with the simulation results. The results show that there is an excellent agreement between the two approaches.
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Teekapakvisit, Chakree. "Low Complexity Adaptive Iterative Receivers for Layered Space-Time Coded and CDMA Systems." Thesis, The University of Sydney, 2006. http://hdl.handle.net/2123/1776.

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In this thesis, we propose and investigate promising approaches for interference mitigation in multiple input multiple output (MIMO) and code division multiple access (CDMA) systems. Future wireless communication systems will have to achieve high spectral efficiencies in order to meet increasing demands for huge data rates in emerging Internet and multimedia services. Multiuser detection and space diversity techniques are the main principles, which enable efficient use of the available spectrum. The main limitation for the applicability of the techniques in these practical systems is the high complexity of the optimal receiver structures. The research emphasis in this thesis is on the design of a low complexity interference suppression/cancellation algorithm. The most important result of our research is the novel design of interference cancellation receivers which are adaptive and iterative and which are of low computational complexity. We propose various adaptive iterative receivers, based on a joint adaptive iterative detection and decoding algorithm. The proposed receiver can effectively suppress and cancel co-channel interference from the adjacent antennas in the MIMO system with a low computation complexity. The proposed adaptive detector, based on the adaptive least mean square (LMS) algorithm, is investigated and compared with the non-adaptive iterative receiver. Since the LMS algorithm has a slow convergence speed, a partially filtered gradient LMS (PFGLMS) algorithm, which has a faster convergence speed, is proposed to improve the convergence speed of the system. The performance and computational complexity of this receiver are also considered. To further reduce the computational complexity, we apply a frequency domain adaptation technique into the adaptive iterative receivers. The system performance and complexity are investigated. It shows that the computational complexity of the frequency domain based receiver is significantly lower than that of the time domain based receiver with the same system performance. We also consider applications of MIMO techniques in CDMA systems, called MIMO-CDMA. In the MIMO-CDMA, the presence of the co-channel interference (CCI) from the adjacent antennas and multiple access interference (MAI) from other users significantly degrades the system performance. We propose an adaptive iterative receiver, which provides the capability to effectively suppress the interference and cancel the CCI from the adjacent antennas and the MAI from other users so as to improve the system performance. The proposed receiver structure is also based on a joint adaptive detection and decoding scheme. The adaptive detection scheme employs an adaptive normalized LMS algorithm operating in the time and frequency domain. We have investigated and compared their system performance and complexity. Moreover, the system performance is evaluated by using a semi-analytical approach and compared with the simulation results. The results show that there is an excellent agreement between the two approaches.
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Terziev, George, and Kamilo Feher. "ADAPTIVE FAST BLIND FEHER EQUALIZERS (FE) FOR FQPSK." International Foundation for Telemetering, 1999. http://hdl.handle.net/10150/607297.

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International Telemetering Conference Proceedings / October 25-28, 1999 / Riviera Hotel and Convention Center, Las Vegas, Nevada
The performance of novel experimental blind equalizers suitable for a large class of applications including telemetry systems and other wireless applications is described. Experimental hardware research of these adaptive patent pending Feher Equalizers (FE) confirms computer simulated data [1]. A two-ray RF selective faded telemetry channel has been simulated. A dynamically changing channel environment with a selective fade rate in the 1Hz to 50Hz range has been constructed by laboratory hardware. The Test and Evaluation (T&E) setup had RF frequency selective dynamic notch depth variations in the Power Spectral Density (PSD) within the band of the signal of up to 15dB. As an illustrative example of the adaptive equalizer capability we used a 1Mb/s rate Feher patented FQPSK [1] Commercially Of The Shelf (COTS) product. Both hardware experimental results as well as simulation indicate substantial performance improvement with the utilization of the FE. It is demonstrated that the FE improves for a large class of frequency selective faded systems the Bit Error Rate(BER) from 10^-2 to 10^-6. Similar performance improvements are presented for the Block Error Rate (BLER).
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Howie, David Baird. "An investigation into non-linear propagation of MSK with a view to specifying an adaptive equalizer." Master's thesis, University of Cape Town, 1989. http://hdl.handle.net/11427/23250.

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The purpose of this dissertation is to investigate the effects of non-linear propagation on a proposed digital microwave radio link which employs MSK modulation, in order to specify a suitable form of adaptive equalization. MSK is a coherent modulation technique, having improved spectral roll-off over FSK because it avoids the abrupt phase changes at the bit transitions. However computer simulations and field results indicate that MSK digital radio links do suffer from intersymbol interference and crosstalk. Software and hardware simulations of multipath propagation are based on Rummlers simplified three path model and statistics. The results obtained from the computer simulations of the MSK link and multipath propagation confirm that there is no simple relationship between the multipath parameters and the BER degradation which could be used in the design of an equalizer. The choice of adaptive equalizer is made based on criteria such as construction cost, circuit complexity, and performance improvement. It is known from ray model analysis that at a transmitting frequency of 23 GHz deep fading will only occur on links longer than 5.24 kms. However even on hops of length 5 km' s the fade time is-in the order of 1612 seconds/month (calculated using Rummlers model). A ldB increase in theoretical Eb/No will also be required to overcome potential modem imperfections. It is necessary to have a time domain equalizer which can compensate for both amplitude and phase distortions simultaneously by acting directly on the ISI. The equalizer structure chosen is a 2-by-2, fractionally spaced, decision feedback, complex adaptive equalizer with zero forcing control algorithm.
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Books on the topic "Adaptive equalizer"

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Mulgrew, Bernard, and Colin F. N. Cowan. Adaptive Filters and Equalisers. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-1701-2.

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Mulgrew, Bernard. Adaptive Filters and Equalisers. Boston, MA: Springer US, 1988.

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N, Cowan C. F., ed. Adaptive filters and equalisers. Boston: Kluwer Academic Publishers, 1988.

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Gimeno Gasca, Cecilia, Santiago Celma Pueyo, and Concepción Aldea Chagoyen. CMOS Continuous-Time Adaptive Equalizers for High-Speed Serial Links. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-10563-5.

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1952-, Hanzo Lajos, and Hanzo Lajos 1952-, eds. Quadrature amplitude modulation: From basics to adaptive trellis-coded, turbo-equalised and space-time coded OFDM, CDMA and MC-CDMA systems. 2nd ed. Chichester: John Wiley & Sons, 2004.

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Hartman, Gregory P. Continuous-time adaptive-analog coaxial equalizer in 0.5*m CMOS. 1997, 1997.

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Xiang, Yihai. Design of high-speed adaptive parallel multi-level decision feedback equalizer. 1997.

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Xiang, Yihai. Design of high-speed adaptive parallel multi-level decision feedback equalizer. 1997.

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Adaptive Filters and Equalisers. Springer, 2011.

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Oprisan, Paul. Convergence study for adaptive allpass filtering. 1998.

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Book chapters on the topic "Adaptive equalizer"

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Hirose, Akira. "Adaptive Optical-Phase Equalizer." In Complex-Valued Neural Networks, 143–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27632-3_9.

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Cremene, Ligia Chira, Nicolae Crisan, and Marcel Cremene. "An Adaptive Combiner-Equalizer for Multiple-Input Receivers." In Novel Algorithms and Techniques in Telecommunications and Networking, 385–90. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-3662-9_66.

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Mingqian, Tim Zhong, AS Madhukumar, and Francois Chin. "CORDIC based QRD-RLS Adaptive Equalizer for CDMA Systems." In Mobile and Wireless Communications, 249–56. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-0-387-35618-1_30.

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Majumder, Saikat. "Adaptive Decision Feedback Equalizer Based on Wavelet Neural Network." In Machine Learning in Signal Processing, 185–212. Boca Raton: Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003107026-8.

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Nirmala Devi, R., Tara Saikumar, and K. Kishan Rao. "Adaptive MMSE Equalizer through LMS Algorithm Based CMA Channel Equalization." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 316–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27299-8_33.

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Zhang, Yanzhong. "A Turbo Code-Aided Adaptive Equalizer for Mobile Radio Communication." In Footprints in Cambridge and Aviation Industries of China, 137–41. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3176-4_14.

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Tretter, Steven A. "QAM Receiver II. The Passband Adaptive Equalizer and Carrier Recovery System." In Communication System Design Using DSP Algorithms, 137–51. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4757-9763-3_14.

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Akram, Muhammad Haseeb, Shahzad Amin Sheikh, and Sana Abid Khan. "Design of Blind Adaptive Equalizer Using Frequency Domain Rectangular Contour Algorithm." In Lecture Notes in Electrical Engineering, 853–63. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24584-3_72.

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Tretter, Steven A. "QAM Receiver II — The Passband Adaptive Equalizer and Carrier Recovery System." In Communication System Design Using DSP Algorithms, 243–64. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4613-0229-2_15.

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Nirmala Devi, Rangisetty, Tara Saikumar, and K. Kishan Rao. "NLMS Algorithm Based CMA Channel Equalization through an Adaptive MMSE Equalizer." In Advances in Intelligent and Soft Computing, 679–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27443-5_78.

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Conference papers on the topic "Adaptive equalizer"

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Liu, Xumeng, and Arthur James Lowery. "Optical Adaptive LMS Equalizer with an Opto-electronic Feedback Loop." In CLEO: Science and Innovations. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/cleo_si.2022.sm3j.3.

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Abstract:
We propose an optical adaptive Least-Mean-Squares equalizer with an optoelectronic feedback loop to determine the updating of an optical Finite-Impulse-Response filter’s weights, enabling dispersion compensation introduced by 30-km fiber based on a photonic integrated circuit.
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Tart, Allan, and Tonu Trump. "Adaptive equalizer for Mode S receiver." In 2013 8th InternationalWorkshop on Systems, Signal Processing and their Applications (WoSSPA). IEEE, 2013. http://dx.doi.org/10.1109/wosspa.2013.6602382.

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Haiquan Zhao and Jiashu Zhang. "Neural Conjuncted Polynomial's Structure Adaptive Equalizer." In 2007 5th International Conference on Communications, Circuits and Systems. IEEE, 2007. http://dx.doi.org/10.1109/icccas.2007.4348182.

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Hai Huyen Dam, Nordberg, and Nordholm. "Non-causal delayless subband adaptive equalizer." In IEEE International Conference on Acoustics Speech and Signal Processing ICASSP-02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.1005230.

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Dam, Hai Huyen, Jorgen Nordberg, and Sven Nordholm. "Non-causal delayless subband adaptive equalizer." In Proceedings of ICASSP '02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.5745192.

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Borah, Dubari, Aarushi Gupta, and Thottam S. Kalkur. "Ferroelectric Capacitor based Adaptive Differential Equalizer." In 2020 Joint Conference of the IEEE International Frequency Control Symposium and International Symposium on Applications of Ferroelectrics (IFCS-ISAF). IEEE, 2020. http://dx.doi.org/10.1109/ifcs-isaf41089.2020.9234927.

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Lu, Jian-hao, Chi-lun Luo, and Shen-Iuan Liu. "An Adaptive 3.125Gbps Coaxial Cable Equalizer." In 2006 International Symposium on VLSI Design, Automation and Test (VLSI-DAT). IEEE, 2006. http://dx.doi.org/10.1109/vdat.2006.258164.

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Miroshnikova, N. "Adaptive blind equalizer for HF channels." In 2017 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SINKHROINFO). IEEE, 2017. http://dx.doi.org/10.1109/sinkhroinfo.2017.7997541.

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Moon, Todd K., Daniel J. Monroe, Aleksey Orekhov, and Jacob H. Gunther. "A soft-input adaptive equalizer algorithm." In 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers. IEEE, 2009. http://dx.doi.org/10.1109/acssc.2009.5469924.

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Djigan, Victor. "Adaptive Antenna Array, Shared with Adaptive Equalizer : Invited Paper." In 2020 IEEE Ukrainian Microwave Week (UkrMW). IEEE, 2020. http://dx.doi.org/10.1109/ukrmw49653.2020.9252714.

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