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IEEE International Conference on Communications

作者： Reza Arablouei Kutluyil Dogancay Institute for Telecommunications Research University of South Australia School of Electrical and Information Engineering University of South Australia

ISBN: (纸本)9781457720529

Increasing the projection order in the affine projection adaptive filtering algorithm speeds up the convergence but also increases the steady-state misalignment. To address this unfavorable compromise, we propose a new affine projection algorithm with a variable projection order. This algorithm adaptively changes the projection order according to the estimated variance of the filter output error. The error variance is estimated using the exponential window and moving averaging techniques and employing a variable forgetting factor. Simulations demonstrate that the new algorithm provides fast initial convergence and low steady-state misalignment without necessarily trading off one for the other in addition to a significant reduction in average computational complexity.

关键词： Adaptive filtering affine projection algorithm Variable projection order Error variance estimation

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M-estimate affine projection algorithm Based On Correntropy Induced Metric

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IFAC-PapersOnLine 2019年第24期52卷 107-110页

作者： Bing Liu Haiquan Zhao Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle Ministry of Education School of Electrical Engineering Southwest Jiaotong University Chengdu 610031 China

In this paper, an M-estimate affine projection algorithm based on correntropy induced metric (MAPA-CIM) is proposed for robust sparse adaptive filtering. The proposed MAPA-CIM algorithm uses an M-estimate robust cost function with correntropy induced metric, which is derived by using the unconstrained minimization method. Simulation results show that the proposed MAPA-CIM algorithm has better convergence speed and lower steady-state misalignment for sparse system identification and echo cancellation scenarios in non-Gaussian environments with colored input signal over the usual adaptive filtering algorithms.

关键词： M-estimate affine projection algorithm correntropy induced metric sparse system identification non-Gaussian environments

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Variable step-size affine projection sign algorithm using selective input vectors

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SIGNAL PROCESSING 2015年 115卷 151-156页

作者： Kim, Seung Hun Jeong, Jae Jin Choi, Jong Hyun Kim, Sang Woo Pohang Univ Sci & Technol Dept Elect Engn Pohang 790784 South Korea Pohang Univ Sci & Technol Dept Creat IT Excellence Engn Pohang 790784 South Korea Pohang Univ Sci & Technol Future IT Innovat Lab Pohang 790784 South Korea

affine projection sign algorithm (APSA) is a useful adaptive filter for a highly correlated input signal in the presence of impulsive noise. In this study, a novel variable step-size APSA is proposed using selective input vectors to achieve both fast convergence rate and low steady-state mean-square deviation (MSD) with low computational cost. The selective input vectors and step size are chosen so as to maximize the theoretical MSD difference derived using Price's theorem. The simulation results show that the proposed algorithm has the fastest convergence rate and lowest steady-state MSD when compared with recent variable step-size APSAs. Moreover, it effectively reduces computational cost. (C) 2015 Elsevier B.V. All rights reserved.

关键词： Adaptive filter affine projection algorithm Sign algorithm projection order Mean-square deviation

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Steady-State Analysis of Sparsity-Aware affine projection Sign algorithm for Impulsive Environment

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CIRCUITS SYSTEMS AND SIGNAL PROCESSING 2017年第5期36卷 1934-1947页

作者： Radhika, S. Sivabalan, Arumugam Sathyabama Univ Fac Elect & Elect Engn Madras Tamil Nadu India NEC Mobile Networks Excellence Ctr Madras Tamil Nadu India

A novel zero attraction affine projection sign algorithm (ZA-APSA) for strong impulsive and sparse environment is proposed in this paper. Here norm penalty is introduced to original cost function of APSA which provides zero attraction to the filter weights. The APSA provides lower computational complexity and is robust against impulsive noise, whereas the ZA-APA works well in sparse environment with improved convergence and lower steady-state error. The proposed ZA-APSA combines the feature of APSA and ZA-APA, and hence, it provides faster convergence and lesser steady-state error with high robustness to impulsive interference with low computational complexity than the conventional ones. The stability condition for the convergence in the mean and mean square error sense is derived. Theoretical analysis is made to prove that the proposed algorithm can achieve lesser steady-state mean square error than APSA. Simulations are performed to validate the analysis made and to prove the suitability of the proposed algorithm for sparse and impulsive system identification.

关键词： affine projection algorithm Convergence Impulsive interference Sign algorithm Steady-state mean square error Zero attraction

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An affine projection algorithm based DFE with set-membership filtering

An affine projection algorithm based DFE with set-membership...

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International Conference on Computers and Devices for Communication (CODEC)

作者： Ramesh Chandra Mishra Ratnajit Bhattacharjee Abhijit Mitra Department of EEE Indian Institute of Technology Guwahati Assam India Department of ECE Sir J. C. Bose School of Engineering West Bengal India

ISBN: (纸本)9781467326193

A channel equalization technique based on the affine projection algorithms (APA) with set-membership (SM) filtering for updating filters of a decision feedback equalizer (DFE) is proposed for time-varying wireless channels. The performance of the proposed approach is analyzed through simulations. It is shown in the results that this scheme offers advantages of having substantial fewer number of weight updating operations at moderate SNR with almost similar convergence as normal APA based equalizer. The introduced equalizer converges faster with a marginal increase in complexity than the set-membership normalized least mean square (NLMS) algorithm based equalizer.

关键词： affine projection algorithm Decision feedback equalizer Normalized least mean square algorithm Set-membership decision feedback equalisers projection algorithms Least mean square algorithm Equalizers HELIOS DEVICES Filtration ALASKA POWER ADMINISTRATION based

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A New Approach to Blind Multiuser Detection Based on affine projection algorithm

A New Approach to Blind Multiuser Detection Based on Affine ...

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第三届IEEE无线通讯、网络技术暨移动计算国际会议

作者： Hui Li Hongmei Yu Wei Zeng Department of Electronic Engineering Northwestern Polytechnical University Xi'an 710072 China

The computational complexity of the blind adaptive multiuser detection algorithm with multipath fading channel is usually high. By combining Rake receiver and blind multiuser detection based on the affine projection algorithm (APA), an adaptive receiver which can be used in multipath fading channel is presented in this paper. As the APA can provide a good capability to tradeoff convergence speed and computational complexity, the proposed receiver has much improved convergence speed and tracking properties compared to the LMS-based receiver with much reduced computational cost compared to the one based on RLS algorithm, and also the new receiver is extremely near-far resistant. Simulation results are presented to compare our APA-based receiver with the blind LMS and RLS-based schemes and demonstrate the effectiveness of the proposed receiver.

关键词： affine projection algorithm DS/CDMA blind multiuser detection MAI

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A fast converging concurrent affine projection algorithm for blind multiuser equalisation

A fast converging concurrent affine projection algorithm for...

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2005 The 2nd IEE/EURASIP Conference on DSPenabledRadio (Ref. No. 2005/11086)

作者： M. Hadef S. Weiss University of Southampton UK

ISBN: (纸本)0863415601

In this paper, we derive a fast converging concurrent affine projection algorithm for blind multiuser equalisation, suitable for downlink DS-CDMA systems. Adaptation is performed by concurrently minimising two cost functions based on either a CM criterion or a DD scheme for all active users. Concurrent schemes are known to provide faster convergence. Similarly, affine projection algorithms have been incorporated into blind algorithms elsewhere with good improvement of convergence speed. In the work presented here, we derive a system relying on both principles. We show by computer simulation that substantial performance improvement can be gained over either technique in its own.

关键词： affine projection algorithm Concurrent adaptation Direct decision Constant modulus Downlink DS-CDMA projection algorithms Cost functions algorithms performance boost projection affine In-law Blind Computer Simulation Converge Direct-sequence code-division multiple access WWOX gene

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A VARIABLE STEP SIZE EVOLUTIONARY affine projection algorithm

A VARIABLE STEP SIZE EVOLUTIONARY AFFINE PROJECTION ALGORITH...

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Felix Albu Constantin Paleologu Jacob Benesty Faculty of Electronics and Telecommunications "Politehnica" University of Bucharest 1-3 Iuliu Maniu Bucharest Romania INRS-EMT University of Quebec QC H5A 1K6 Montreal Canada

ISBN: (纸本)9781457705380

It is well known that the affine projection algorithm (APA) offers a good tradeoff between convergence rate/tracking and computational complexity. Recently, the evolutionary APA (E-APA) with a variable projection order has been proposed. In this paper, we propose a variable step size (VSS) version of the E-APA, called VSS-E-APA. It is shown that the VSS-E-APA is robust to near-end signal variations. Also, it has both a fast convergence speed and a small steady-state error and a much reduced numerical complexity than the VSS-APA.

关键词： adaptive filters affine projection algorithm variable step size echo cancellation

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Adaptive calibration of filter nonidealities for compressed sensing based on affine projection algorithm

Adaptive calibration of filter nonidealities for compressed ...

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2013 International Conference on Communication Technology (ICCT 2013)

作者： Rongzong Kang Pengwu Tian Hongyi Yu Zhengzhou Information Science and Technology Institute

Low-pass filtering plays an important role in random demodulator(RD) analog acquisition process of compressed sensing(CS) system, which needs to be characterized accurately to enable perfect reconstruction in the digital domain. However in practice, due to the variations of on-chip capacitors and resistors, and other nonidealities components in the filter, it results in degradation of the reconstruction performance for the mismatch of the impulse response of the reconstruction matrix. In this paper, we propose an adaptive calibration method based on affine projection algorithm to calibrate the deviating measurement matrix for CS in digital, the estimated impulse response of actual filter is used to replace the ideal one directly, and needs no modification to the analog architecture. The analysis and simulation results demonstrate the effectiveness of the calibration scheme.

关键词： compressed sensing random demodulator affine projection algorithm

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Convergence Performance Analysis of an affine projection algorithm in the Presence of Narrowband Interference

Convergence Performance Analysis of an Affine Projection Alg...

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International Congress on Image and Signal Processing

作者： Sheng-Yong Guan Yong-Gang Zhu Yi-Yong Zhu Fei Xu Nanjing Telecommunication Technology Research Institute The 2rd Laboratory Nanjing China PLA Academy of National Defense Information Wuhan China

ISBN: (纸本)9781479927654

In the presence of narrowband interference, non-Wiener effects have been observed for the normalized least-mean-square (NLMS) algorithm and the affine projection algorithm (APA). The convergence performance of the affine projection algorithm (APA) is analyzed in the presence of strong narrowband interference. Firstly, the relationship between the APA and the NLMS algorithm is derived, with the help of decorrelation of the input signal. Then, the statistical properties of the decorrelated input signals are derived, from which we can see that the convergence performance of the APA is almost not affected by the strong narrowband interference. The computer simulation results support the theoretical analysis.

关键词： Narrowband interference affine projection algorithm convergence

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