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Adaptive combination of affine projection and NLMS algorithms

SIGNAL PROCESSING 2014年第0期100卷 64-70页

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

We propose a novel scheme for combining two adaptation terms of affine projection algorithms with different projection orders and step-sizes. The selection of the mixing parameter that determines the performance of the proposed combination scheme is derived by the largest decrease of the mean-square deviation. The experimental results show that the proposed algorithm exhibits a fast convergence speed and a small steady-state misalignment. Moreover, the proposed algorithm achieves a low computational complexity in the steady-state. (C) 2014 Elsevier B.V. All rights reserved.

关键词： Adaptive filters affine projection algorithm Combination algorithm Adaptation term

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Acoustic Feedback Cancellation in Hearing Aids Using Two Microphones Employing Variable Step Size affine projection algorithms

Acoustic Feedback Cancellation in Hearing Aids Using Two Mic...

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IEEE International Conference on Digital Signal Processing

作者： L. T. T. Tran S. Nordholm H. H. Dam W. Y. Yan C. R. Nakagawa Faculty of Science and Engineering Curtin University Signal Processing Research Department Starkey Hearing Technologies

ISBN: (纸本)9781479980598

affine projection algorithms (APA) have been widely employed for acoustic echo cancellation (AEC) since they provide a natural trade-off between convergence speed and computational complexity. However, their application in Acoustic Feedback Cancellation (AFC) in hearing aids so far has been limited due to lack of performance improvement in one microphone settings. A two microphone technique was recently proposed to provide an improved cancellation for a larger class of input signals. This paper proposes to use APA in the two microphone closed-loop feedback cancellation. It is shown that APA has significantly improved the misalignment and maximum stable gain of the system. Moreover, a new variable Gaussian step-size control (VGSS) for APA is also proposed. The simulation results indicate an improvement in convergence speed of the proposed algorithms as compared to previously suggested methods.

关键词： affine projection algorithm Acoustic feedback cancellation Variable step size

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Variable Step-Size affine projection Maximum Correntropy Criterion Adaptive Filter With Correntropy Induced Metric for Sparse System Identification

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS 2020年第11期67卷 2782-2786页

作者： Zhao, Haiquan Liu, Bing Song, Pucha Southwest Jiaotong Univ Minist Educ Key Lab Magnet Suspens Technol & Maglev Vehicle Chengdu 610031 Peoples R China Southwest Jiaotong Univ Sch Elect Engn Chengdu 610031 Peoples R China

In this brief, an affine projection maximum correntropy criterion with correntropy induced metric (APMCCCIM) algorithm is proposed for robust sparse adaptive filtering, and it is derived by using the cost function based on affine projection maximum correntropy criterion and correntropy induced metric to eliminate the adverse effects of impulsive noise on filter weight update in sparse systems. In order to further improve the convergence speed and steady-state misalignment of the proposed APMCCCIM algorithm, the variable step-size method is incorporated into the APMCCCIM algorithm. Hence, the variable step-size APMCCCIM (VSS-APMCCCIM) algorithm is presented. Besides, the computational complexity and the range of step-size of the proposed APMCCCIM algorithm are analyzed. Simulation results show that the proposed APMCCCIM and VSS-APMCCCIM algorithms have faster convergence speed and lower steady-state misalignment for sparse system identification and echo cancellation scenarios in the impulsive noise environments.

关键词： Signal processing algorithms Convergence Measurement Filtering algorithms Adaptive filters System identification Robustness Adaptive filtering maximum correntropy criterion affine projection algorithm correntropy induced metric variable step-size

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Robust convex combination of affine projection-type algorithms using an impulsive noise indicator

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SIGNAL PROCESSING 2016年 129卷 33-37页

作者： Kim, Seung Hun Jeong, Jae Jin Koo, Gyogwon Kim, Sang Woo Pohang Univ Sci & Technol Dept Elect Engn Pohang 37673 South Korea

A novel adaptive filter combining the affine projection algorithm (APA) and the affine projection sign algorithm (APSA) is proposed using an impulsive noise indicator. This indicator is proposed to use the APA as the component filter in impulsive noise environments, and it is easily obtained with convex combination schemes. From this, the proposed algorithm achieves robustness against impulsive noise regardless of the convergence state. In addition, the proposed algorithm exhibits a fast convergence rate of the APA for various noise environments. Simulation results verify that the proposed algorithm adequately combines the advantages of the two component filters for system identification scenarios. (C) 2016 Elsevier B.V. All rights reserved.

关键词： Adaptive filter affine projection algorithm affine projection sign algorithm Colored input Outlier

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An Effective Space-Time antijamming Method Based on VSS affine projection 9

An Effective Space-Time antijamming Method Based on VSS Affi...

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9th IEEE International Conference on Software Engineering and Service Science (ICSESS)

作者： Liu, Fulai Wang, Xianchao Song, Hui Du, Ruiyan Song, Xin Northeastern Univ Sch Comp Sci & Engn Engineer Optimizat & Smart Antenna Inst Qinhuangdao Hebei Peoples R China

ISBN: (纸本)9781538665657

SI)ace-time anti-jamming technology has become one of the core technologies of navigation because of its high degree of freedom and its ability to suppress multiPle tyPes of interference. But the high dimension of STAP leads to an increase in computation. The LMS algorithm is applied to STAP to reduce the amount of calculation by avoiding matrix inversion, However, the convergence effect of the LMS algorfthm is susceptible to the exPansion of the eigenvalues of the sampled data covariance matrix. In order to imProve the above problems, a variable step size affine projection algorithm is Proposed in this Paper, The algorithm makes the next weight vector as close as Possible to the current weight vector by re Peatedly using the data received by the space-time array, while the variable steP size method is used to reduce the steady-state error of the algorithm. The proposed algorithm has similar steady-state error compared with LMS, but accelerates the convergence speed, Simulation results are presented to verffy the feasibility and effectiveness of the pro Posed algorithm.

关键词： S'I'AI' LMS affine projection algorithm variable step size anti-jamming

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Convex Combination of affine projection and Error Coded Least Mean Square algorithms

Convex Combination of Affine Projection and Error Coded Leas...

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IEEE International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)

作者： Ibarra, I. Rodriguez, J. Pichardo, E. Avalos, J. G. Avalos, G. Inst Politecn Nacl ESIME Culhuacan Mexico City DF Mexico

ISBN: (纸本)9781538691915

affine projection (AP) algorithms offer a relatively good convergence speed which can be increased by augmenting the projection order (L), however, in addition to presenting a high computational complexity, their steady-state misadjustment worsens in direct ratio to the rise of L. Convex combinations of AP algorithms have been devised in an attempt to address the misadjustment issue, albeit at the cost of doubling the aforementioned computational complexity. This work introduces the convex combination of an AP algorithm with an Error Coded Least Mean Square (ECLMS) algorithm, in order to reduce the twofold increase in computational complexity of dual AP combinations while retaining the high convergence speed and improving the steady-state misadjustment level. The proposed algorithm was tested in a system identification application, results demonstrate that the proposal performs as good or better than dual AP solutions, while considerably reducing computational complexity.

关键词： Adaptive filters Convex combination affine projection algorithm Error coded least mean square

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Novel affine projection Sign Subband Adaptive Filter 3rd

Novel Affine Projection Sign Subband Adaptive Filter

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3rd International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT)

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

ISBN: (纸本)9789811079863;9789811079856

In this paper, we propose a novel affine projection sign subband adaptive filter (NAPSSAF) algorithm which can obtain better performance than the conventional APSSAF. The proposed NAPSSAF is derived by minimizing the l1-norm of the subband a posteriori error vector rather than the overall a posteriori error vector, which fully uses the subband adaptive filter's inherent decorrelating property. Simulations in context of the system identification and acoustic echo cancellation (AEC) are carried out to demonstrate the advantages of the proposed algorithms. The results of simulations demonstrate that the proposed NAPSSAF obtains faster convergence rate than the existing algorithms.

关键词： Normalized subband adaptive filter affine projection algorithm Acoustic echo cancellation (AEC)

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PROPORTIONATE affine projection SIGN algorithmS FOR SPARSE SYSTEM IDENTIFICATION IN IMPULSIVE INTERFERENCE

PROPORTIONATE AFFINE PROJECTION SIGN ALGORITHMS FOR SPARSE S...

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IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Yang, Zengli Zheng, Yahong Rosa Grant, Steven L. Missouri Univ Sci & Technol Dept Elect & Comp Engn Rolla MO 65409 USA

ISBN: (纸本)9781457705397

Two proportionate affine projection sign algorithms (APSAs) are proposed for system identification applications, such as network echo cancellation (NEC), where the impulse response is often real-valued with sparse coefficients and long filter length. The proposed proportionate-type algorithms can achieve fast convergence and low steady-state misalignment by adopting a proportionate regularization matrix to the APSA. Benefiting from the characteristic of l(1)-norm algorithms, affine projection, and proportionate matrix, the new algorithms are robust to impulsive interferences and colored input, and achieve much faster convergence rate in sparse impulse responses than the original APSA, the normalized sign algorithm (NSA), and the proportionate least mean square (PNLMS) algorithm. The computational complexity of the new algorithms is lower than the affine projection algorithm (APA) family due to elimination of matrix inversion.

关键词： Adaptive filter network echo cancellation (NEC) proportionate adaptive algorithm affine projection algorithm sign algorithm

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Online Parameter Estimation Technique for Adaptive Control Applications of Interior PM Synchronous Motor Drives

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IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2016年第3期63卷 1438-1449页

作者： Dong Quang Dang Rafaq, Muhammad Saad Choi, Han Ho Jung, Jin-Woo Dongguk Univ Div Elect & Elect Engn Seoul 100715 South Korea

This paper proposes an online parameter estimation method based on a discrete-time dynamic model for the interior permanent-magnet synchronous motors (IPMSMs). The proposed estimation technique, which takes advantage of the difference in dynamics of motor parameters, consists of two affine projection algorithms. The first one is designed to accurately estimate the stator inductances, whereas the second one is designed to precisely estimate the stator resistance, rotor flux linkage, and load torque. In this paper, the adaptive decoupling proportional-integral (PI) controllers with the maximum torque per ampere operation, which utilize the previously identified parameters in real time, are chosen to verify the effectiveness of the proposed parameter estimation scheme. The simulation results via MATLAB/Simulink and the experimental results via a prototype IPMSM drive system with a TI TMS320F28335 DSP are presented under various conditions. A comparative study with the conventional decoupling PI control method is carried out to demonstrate the better performances (i.e., faster dynamic response, less steady-state error, more robustness, etc.) of the adaptive decoupling PI control scheme based on the proposed online parameter estimation technique.

关键词： Adaptive decoupling proportional-integral (PI) control affine projection algorithm interior permanent-magnet synchronous motor (IPMSM) online parameter estimation

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Wavelet Based affine projection Adaptive Filter

Wavelet Based Affine Projection Adaptive Filter

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2011 International Conference on Informatics,Cybernetics,and Computer Engineering(ICCE 2011)

作者： Wei-Wei Wu Yan-Song Wang Vehicle Engineering College Shanghai University of Engineering Science

A wavelet transform based affine projection algorithm is proposed, with a variable step-size scheme. The numerical simulations and engineering application verify the performance of the algorithm. On the same conditions, the proposed algorithm has a faster convergence and the same steady state MSE compare to normal affine projection algorithm. That means to achieve the same rate of convergence less order is needed by this algorithm, which counteract the computing expenses induced by wavelet transform. By means of variable stepsize scheme, the proposed algorithm has a faster convergence rate and a lower steady state MSE or misadjustment than the corresponding normal variable step-size affine projection algorithms.

关键词： affine projection algorithm adaptive filter wavelet transform variable step-size

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