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IEEE China Summit and International Conference on Signal and Information Processing

作者： Haiquan Zhao Yilong Lei Sch. of Electr. Eng. Southwest Jiaotong Univ. Chengdu China

ISBN: (纸本)9781479919499

With the development of adaptive filter theory, many adaptive filtering techniques are used for harmonic current detection, and achieved some good results. However, conventional algorithms still have some poor properties, such as low accuracy and slow convergence rate. Based on adaptive noise cancellation theory, this paper proposed a variable step size affine projection algorithm (VSS-APA) for harmonic current detection. The step size of the proposed method is updated by the coherence average estimation of the proportion denoted by the error signal in the total signal. The VSS-APA has fast convergence rate and good tracking performance of fundamental and harmonic components from distorted signals, and simulation results prove the algorithm having a good feature.

关键词： Variable step size affine projection algorithm Active power filter Adaptive harmonic detecting method

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A new incremental affine projection-based adaptive algorithm for distributed networks

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SIGNAL PROCESSING 2008年第10期88卷 2599-2603页

作者： Li, Leilei Chambers, Jonathon A. Univ Loughborough Adv Signal Proc Grp Dept Elect & Elect Engn Loughborough LE11 3TU Leics England

A new incremental adaptive learning scheme based on the affine projection algorithm (APA), which is developed from Newton's method, is formulated for distributed networks to ameliorate the limited convergence properties of least-mean-square (LMS) type distributed adaptive filters with colored inputs. The simulation results verify that the proposed algorithm provides not only a faster convergence rate but also an improved steady-state performance as compared to an LMS-based scheme. In addition, the new approach attains an acceptable misadjustment performance at the steady-state stage with lower computational cost, provided the number of regressor vectors and filter length parameters are appropriately chosen, and memory cost than a recursive-least-squares (RLS)-based method. (C) 2008 Elsevier B.V. All rights reserved.

关键词： adaptive filters distributed networks affine projection algorithm

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Robust affine projection KRSMPL Adaptive Filtering algorithm and Its Application

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS 2024年第3期71卷 1506-1510页

作者： Lv, Shaohui Zhao, Haiquan Xu, Wenjing Southwest Jiaotong Univ Key Lab Magnet Suspens Technol & Maglev Vehicle Minist Educ Chengdu 610031 Peoples R China Southwest Jiaotong Univ Sch Elect Engn Chengdu 610031 Peoples R China

Recently, an affine projection generalized maximum correntropy criterion (APGMCC) algorithm was developed to process the colored input signal and impulsive noise. However, the non-convexity of the generalized correntropic loss (GC-Loss) function causes the APGMCC algorithm suffers from high steady-state misalignment. In this brief, a new robust adaptive filtering algorithm called affine projection kernel risk-sensitive mean ${p}$ -power error loss (APKRSMPL) is proposed, which is deduced by minimizing the sum of the KRSMPL functions of the a posteriori error vector elements under a bounded energy constraint on the filter weights fluctuation. Since no matrix inversion is required, the proposed APKRSMPL algorithm is computationally efficient. In addition, the convexity of the KRSMPL function ensures faster convergence and lower steady-state misalignment of the APKRSMPL algorithm. Then, the mean-square stability as well as the steady-state excess mean square error (EMSE) of the APKRSMPL algorithm are analyzed and an approximate steady-state EMSE solution is derived. Finally, system identification and acoustic echo cancellation (AEC) computer simulations verify the accuracy of the steady-state EMSE solution and the effectiveness of the proposed APKRSMPL algorithm.

关键词： affine projection algorithm kernel risk sensitive mean p-power error loss impulsive noise steady-state EMSE AEC

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Diffusion affine projection maximum correntropy criterion algorithm and its performance analysis

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SIGNAL PROCESSING 2021年 181卷 107918-107918页

作者： Song, Pucha Zhao, Haiquan Li, Pengfei Shi, Long Southwest Jiaotong Univ Key Lab Magnet Suspens Technol & Maglev Vehicle Sch Elect Engn Minist Educ 111North Sect 12nd Ring Chengdu 610031 Peoples R China

The convergence performance of the conventional diffusion affine projection algorithm (DAPA) will be affected in impulsive noise environment. To overcome this shortcoming, in this paper, a diffusion affine projection maximum correntropy criterion (DAPMCC) algorithm is derived by using the maximum correntropy criterion in the diffusion network. The convergence of the DAPMCC algorithm in the mean and mean-square sense is studied, providing a constrained range for the step-size. Meanwhile, the theoretical steady-state mean square analysis of the proposed algorithm shows that the steady-state mean square deviation (MSD) is determined by parameters such as step-size and projection order. Simulation results demonstrate that the DAPMCC algorithm shows desirable estimation performance under impulsive interference environment, and the theoretical steady-state analysis is able to provide an accurate prediction. (C) 2020 Elsevier B.V. All rights reserved.

关键词： affine projection algorithm Diffusion network Impulsive noise Maximum correntropy criterion Steady-state analysis

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Robust Novel affine projection Sign Subband Adaptive Filter algorithm

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CIRCUITS SYSTEMS AND SIGNAL PROCESSING 2019年第9期38卷 4141-4161页

作者： Liu, Qianqian Zhao, Haiquan Minist Educ Key Lab Magnet Suspens Technol & Maglev Vehicle Chengdu Sichuan Peoples R China Southwest Jiaotong Univ Sch Elect Engn Chengdu Sichuan Peoples R China

This paper presents a novel affine projection sign subband adaptive filter (NAPSSAF) which could achieve better performance than the conventional APSSAF. The proposed NAPSSAF is obtained by solving the optimal problems regarding the l(1)-norm of the subband a posteriori error vectors rather than overall a posteriori error vector, which fully uses the subband adaptive filter's inherent decorrelating property. However, since the NAPSSAF algorithm uses the fixed step size, it has an inherent trade-off between low steady-state error and fast convergence rate. Thus, we also propose a combined step size NAPSSAF (CSS-NAPSSAF) to further improve the performance of the NAPSSAF. Finally, simulations are carried out to exhibit the advantages of the NAPSSAF and CSS-NAPSSAF algorithms. The results of simulations demonstrate that the NAPSSAF is superior to the existing algorithms. Besides, the results of simulations also exhibit the improved performance of the CSS-NAPSSAF compared to NAPSSAF.

关键词： Sign subband adaptive filter affine projection algorithm Impulsive interference

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Simplified Set-Membership affine projection Least Mean Fourth algorithm 37

Simplified Set-Membership Affine Projection Least Mean Fourt...

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37th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC)

作者： Sitjongsataporn, Suchada Prongnuch, Sethakarn Wiangtong, Theerayod Mahanakorn Univ Technol Mahanakorn Inst Innovat Dept Elect Engn Bangkok Thailand Suan Sunandha Rajabhat Univ Fac Ind Technol Dept Robot Engn Bangkok Thailand King Mongkuts Inst Technol Sch Engn Dept Elect Engn Bangkok Thailand

ISBN: (数字)9781665485593

ISBN: (纸本)9781665485593

A simplified forms of adaptive setmembership affine projection based on least mean fourth algorithm is proposed. Least mean fourth (LMF) algorithm is defined by taking the fourth power of error to against the non-Gaussian environment. A set-membership adaptive filtering is described firstly. Then, an affine projection algorithm is based on LMF algorithm. A simplified set-membership affine projection algorithm based on LMF is introduced. Adaptive threshold parameter and learning rate are presented for improvement of convergence rate. Numerical simulations show that the proposed algorithm can provide significantly to the conventional affine projection algorithm.

关键词： Set-membership adaptive filtering affine projection algorithm Least mean fourth algorithm

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Diffusion affine projection M-Estimate algorithm for Multitask Networks 16

Diffusion Affine Projection M-Estimate Algorithm for Multita...

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16th IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Song, Pucha Zhao, Haiquan Zhu, Yingying Southwest Jiaotong Univ Key Lab Magnet Suspens Technol & Maglev Vehicle Minist Educ Sch Elect Engn Chengdu Peoples R China

ISBN: (纸本)9781665422482

The estimation performance of multitask diffusion affine projection algorithm (MD-APA) will be affected in impulsive noise environment. To overcome this shortcoming, in this paper, a multitask diffusion Aline projection M-estimate (MD-APM) algorithm is derived by using the M-estimate function in the multitask network. Simulation results demonstrate that the proposed MD-APM algorithm shows good estimation performance than MD-APA and MD-APSA under impulsive interference environment.

关键词： affine projection algorithm multitask network M-estimate impulsive noise

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A novel multitarget adaptive array algorithm for wireless CDMA systems using block affine projection

A novel multitarget adaptive array algorithm for wireless CD...

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60th IEEE Vehicular Technology Conference

作者： Labib, M El-Tanany, M Goubran, R Carleton Univ Dept Syst & Comp Engn Ottawa ON K1S 5B6 Canada

ISBN: (纸本)0780385217

This paper presents a novel blind adaptive array algorithm for CDMA systems employing the despread-respread technique in conjunction with the Block affine projection algorithm. The Block affine projection Despread Respread Multitaraget Array (AP-DRMTA) algorithm is developed and compared with the Least Squares Despread Respread Multitarget Array (LS-DRMTA) algorithm, the Least Squares Despread Respread Multitarget Constant Modulus algorithm (LS-DRMTCMA) and the Block RLS-Despread Respread Multitarget Array (Block RLS-DRMTA). Computer simulation in both the AWGN static channel and the dynamic channel is performed. The simulation results indicate that the AP-DRMTA has superior bit error rate performance.

关键词： smart antenna multitarget array CDMA systems affine projection algorithm

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Zero-attracting affine projection M-estimate algorithm for Sparse System Identification in Impulsive Interference 11

Zero-attracting Affine Projection M-estimate Algorithm for S...

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11th International Conference on Signal Processing Systems (ICSPS)

作者： Chen, Yi Xie, Jinfeng China Acad Informat & Commun Technol Chongqing Acad Informat & Commun Technol West Inst Sci & Technol Cooperat Dept Chongqing Peoples R China

ISBN: (纸本)9781510635463

Proposed is a novel affine projection algorithm (APA) based on the M-estimate objective function with L-0 norm constraint. APA degenerates severely in impulsive interference and has no advantage for sparse system identification. In this letter, we use an M-estimate objective function to improve the robustness of the APA against impulsive interference, and a L-0 norm cost to improve the convergence rate for a sparse system. Simulation results show that the proposed algorithm outperform traditional algorithms in sparse system identification experiments that include correlated input and impulsive interference.

关键词： affine projection algorithm M-estimate sparse system identification impulsive interference

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ADAPTIVE STEP-SIZE affine projection ADAPTIVE THRESHOLD NONLINEAR ERROR algorithm 25

ADAPTIVE STEP-SIZE AFFINE PROJECTION ADAPTIVE THRESHOLD NONL...

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International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)

作者： Koike, Shin'ichi Department of Consultant Tokyo Japan

ISBN: (纸本)9781538621592

This paper proposes an adaptation algorithm named Adaptive Step-Size affine projection Adaptive Threshold Nonlinear Error algorithm (ASS-AP-ATNEA) for adaptive filters in the complex-number domain, combining the AP algorithm with ATNEA and an adaptive step-size (ASS) control algorithm. Through theoretical analysis and experiments, it is shown that the ASS-AP-ATNEA makes adaptive filters fast convergent and highly robust against impulsive observation noise, and at the same time sufficiently reduces the steady-state error.

关键词： adaptive filter affine projection algorithm impulse noise fast convergence robust filtering

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