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Simplified p-norm-like Constraint lms algorithm for Efficient Estimation of Underwater Acoustic Channels

Journal of Marine Science and Application 2013年第2期12卷 228-234页

作者： F.Y. Wu Y.H. Zhou F. Tong R. Kastner Key Laboratory of Underwater Acoustic Communication and Marine Information Technology of the Minister of Education Xiamen University Xiamen 361005 China Department of Computer Science and Engineering University of California San Diego La Jolla USA

Underwater acoustic channels are recognized for being one of the most difficult propagation media due to considerable difficulties such as： multipath, ambient noise, time-frequency selective fading. The exploitation of sparsity contained in underwater acoustic channels provides a potential solution to improve the performance of underwater acoustic channel estimation. Compared with the classic 10 and 11 norm constraint lms algorithms, the p-norm-like （Ip） constraint lms algorithm proposed in our previous investigation exhibits better sparsity exploitation performance at the presence of channel variations, as it enables the adaptability to the sparseness by tuning of p parameter. However, the decimal exponential calculation associated with the p-norm-like constraint lms algorithm poses considerable limitations in practical application. In this paper, a simplified variant of the p-norm-like constraint lms was proposed with the employment of Newton iteration m to approximate the decimal exponential calculation. Num simulations and the experimental results obtained in physical shallow water channels demonstrate the effectiveness of the proposed method compared to traditional norm constraint lms algorithms.

关键词： p-norm-like constraint tmderwater acoustic channels lms algorithm sparsity exploitation

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Performance Analysis of Kernel Adaptive Filters based on lms algorithm

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Procedia Computer Science 2013年 20卷 39-45页

作者： Ibtissam Constantin Régis Lengellé Lebanese University Faculty of Science Fanar Lebanon Laboratory ISTIT -LM2S(FRE CNRS 2732) Troyes University of Technology Troyes France

The design of adaptive nonlinear filters has sparked a great interest in the machine learning community. The present paper aims to present some recent developments in nonlinear adaptive filtering. It provides an in-depth analysis of the performance and complexity of a class of kernel filters based on the least-mean-squares algorithm. A key feature that underlies kernel algorithms is that they map the data in a high-dimensional feature space where linear filtering is performed. The arithmetic operations are carried out in the initial space via evaluation of inner products between pairs of input patterns called kernels. The SNR improvement and the convergence speed of kernel-based least-mean-squares filters are evaluated on two types of applications: time series prediction and cardiac artifacts extraction from magnetoencephalographic data.

关键词： Adaptive kernel filters lms algorithm SNR improvement cardiac artifacts extraction time series prediction

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Improved lms algorithm and Its Application in Direct Path and Multipath Cancellation for Passive Radar

Improved LMS Algorithm and Its Application in Direct Path an...

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2012 IEEE 14th International Conference on Communication Technology

作者： Ducheng Wu Liang Shen Jinquan Xie Yubo Wang Institute of Communications Engineering PLA University of Science and Technology

ISBN: (纸本)9781467321006

In passive radar,the target's echo could be masked by the sidelobes of the direct path and multipath interference (DPI and MPI) received by the receiver *** the direct path and multipath interference cancellation is a key factor in passive radar *** this paper,an improved lms algorithm is proposed,and its performance in passive radar direct path and multipath interference cancellation is *** proposed algorithm,which varies the step size,has better performance compared with the traditional lms *** computer simulation results show that the algorithm has a faster convergence rate and a smaller steady state error.

关键词： passive radar lms algorithm direct path and multipath interference step size

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A Novel Adaptive lms algorithm with Genetic Search Capabilities for System Identification of Adaptive FIR and IIR Filters

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INFORMATION 2019年第5期10卷 176页

作者： Humaidi, Amjad J. Ibraheem, Ibraheem Kasim Ajel, Ahmed R. Univ Technol Baghdad Dept Control & Syst Engn Baghdad 10001 Iraq Univ Baghdad Coll Engn Dept Elect Engn Baghdad 10001 Iraq Middle Tech Univ Elect Engn Tech Coll Dept Control & Automat Engn Tech Baghdad 10001 Iraq

In this paper we introduce a novel adaptation algorithm for adaptive filtering of FIR and IIR digital filters within the context of system identification. The standard lms algorithm is hybridized with GA (Genetic algorithm) to obtain a new integrated learning algorithm, namely, lms-GA. The main aim of the proposed learning tool is to evade local minima, a common problem in standard lms algorithm and its variants and approaching the global minimum by calculating the optimum parameters of the weights vector when just estimated data are accessible. In the proposed lms-GA technique, first, it works as the standard lms algorithm and calculates the optimum filter coefficients that minimize the mean square error, once the standard lms algorithm gets stuck in local minimum, the lms-GA switches to GA to update the filter coefficients and explore new region in the search space by applying the cross-over and mutation operators. The proposed lms-GA is tested under different conditions of the input signal like input signals with colored characteristics, i.e., correlated input signals and investigated on FIR adaptive filter using the power spectral density of the input signal and the Fourier-transform of the input's correlation matrix. Demonstrations via simulations on system identification of IIR and FIR adaptive digital filters revealed the effectiveness of the proposed lms-GA under input signals with different characteristics.

关键词： multimodal error surface genetic algorithm lms algorithm system identification adaptive filtering IIR filter

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Hybrid lms-LMF algorithm for adaptive echo cancellation

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IEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING 1999年第4期146卷 173-180页

作者： Zerguine, A Bettayeb, M Cowan, CFN King Fahd Univ Petr & Minerals Dept Phys Dhahran 31261 Saudi Arabia King Fahd Univ Petr & Minerals Dept Elect Engn Dhahran 31261 Saudi Arabia Queens Univ Belfast Dept Elect & Elect Engn Belfast BT9 5AH Antrim North Ireland

The coefficients of an echo canceller with a near-end section and a far-end section are usually updated with the same updating scheme, such as the lms algorithm. A novel scheme is proposed for echo cancellation that is based on the minimisation of two different cost functions, i.e. one for the near-end section and a different one for the far-end section. The approach considered leads to a substantial improvement in performance over the lms algorithm when it is applied to both sections of the echo canceller. The convergence properties of the algorithm are derived. The proposed scheme is also shown to be robust to noise variations. Simulation results confirm the superior performance of the new algorithm.

关键词： near-end section adaptive filters least mean squares methods adaptive signal processing convergence properties echo suppression noise variations Gaussian environment hybrid lms-LMF algorithm lms algorithm Gaussian processes least mean fourth algorithm Filtering methods in signal processing nonGaussian environment Interpolation and function approximation (numerical analysis) adaptive echo cancellation updating scheme performance filtering theory far-end section simulation results echo canceller coefficients cost functions minimisation Signal processing theory

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VIBRATION CONTROL OF A COMPOSITE BEAM BY AN ADAPTIVE SEMI-ACTIVE METHOD BASED ON lms algorithm

VIBRATION CONTROL OF A COMPOSITE BEAM BY AN ADAPTIVE SEMI-AC...

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第三届全国压电和声波理论及器件技术研讨会

作者： Hong-li JI,Jin-hao QIU,Kong-jun ZHU College of Aerospace Engineering,Nanjing University of Aeronautics and Astronautics, 29 Yudao Street,Nanjing 210016,China

In this paper,an adaptive semi-active SSDV(Synchronized Switch Damping on Voltage) method based on the lms algorithm is proposed and applied to the vibration control of a composite *** the SSDV method,the value of voltage source in the switching circuit is critical to its control *** the adaptive approach proposed in this study,the voltage coefficient is adjusted adaptively using the lms *** new adaptive approach is compared with the derivative-based adaptive SSDV proposed in the former study in the control of the first mode of a composite *** control results show that adaptive adjustment of voltage coefficient is effective in the vibration control of the composite beam and that lms-based approach is slightly better than the derivative-based approach.

关键词： Piezoelectric elements synchronized switch damping semi-active control vibration damping lms algorithm

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A New GSC based MVDR Beamformer with CS- lms algorithm for Adaptive Weights Optimization

A New GSC based MVDR Beamformer with CS- LMS Algorithm for A...

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2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

作者： Wei Shao Wei-cheng Wang Institute of Communication Engineering PLA University of Science and Technology Nanjing China

A new generalized sidelobe canceller (GSC) based minimum variance distortionless response (MVDR) beamformer is proposed in this paper, which applies constrained stability least mean squares (CS-lms) algorithm for adaptive weights optimization. With a different recursive formula, CS-lms algorithm is more flexible than normal lms algorithm. Then, this algorithm is introduced into GSC based MVDR beamformer. As a result, a good signal of interest (SOI) extraction and interferences nulling performance is obtained. Simulation experiments show the merits of the proposed beamformer against the other two, GSC based MVDR beamformer with lms algorithm and fully adaptive MVDR beamformer.

关键词： CS-lms algorithm lms algorithm MVDR GSC

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Adaptive Filter by using Proportionate Frequency Domain Extended Correlation lms algorithm in the Double-Talk Condition

Adaptive Filter by using Proportionate Frequency Domain Exte...

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9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP'08)

作者： Rui Chen Zhifeng E Jiawen Hu Mohammad Reza Asharif Central South University ofForestry & Technology ChangshaChina Hunan branch of China Telecom Co. LtdChangshaChina University of the Ryukyus OkinawaJAPAN

Echo path estimation in echo canceling for teleconference system is a problem in double-talk *** correlation function based algorithms were defined by the authors to solve this *** this paper,in order to improve the convergence speed of correlation function based algorithm,we propose a new modified proportionate step-size adaptation method,and then implement it into frequency domain extended correlation lms algorithm (FEClms).The new algorithm is called proportionate frequency domain extended correlation lms algorithm (PFEClms).The computer simulation results support the theoretical findings and verify the robustness of the proposed algorithm in the double-talk situation.

关键词： Echo canceling lms algorithm Doubletalk condition Correlation function Proportionate step-size adaptation method

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Variable Step-size lms algorithm Based on Discrete Cosine Transform for Voice Signal Denoising

Variable Step-size LMS Algorithm Based on Discrete Cosine Tr...

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2019 International Conference on Artificial Intelligence, Control and Automation Engineering(AICAE 2019)

作者： Zhuo CHEN Xinyang Agriculture and Forestry University

Starting from the characteristic of voice signal itself, a new variable step-size lms algorithm based on DCT is proposed in order to improve the comprehensive performance in adaptive noise cancellation, which combines the merits of normalized DCT-lms algorithm and variable step-size lms algorithm, and give full play to the decorrelation capability of DCT and rapid convergence effect of variable step-size algorithm. The c simulation results show that the new algorithm has faster convergence rate and smaller steady state error compared with traditional lms and Nlms algorithm, however, the computational complexity is comparable to Nlms algorithm at the same time.

关键词： Adaptive noise cancellation Voice signal denoising Discrete cosine transform Variable step size lms algorithm

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Adaptive Filter by using Proportionate Frequency Domain Extended Correlation lms algorithm in the Double-Talk Condition

Adaptive Filter by using Proportionate Frequency Domain Exte...

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2008 9th International Conference on Signal Processing(ICSP’2008)

作者： Mohammad Reza Asharif University of the Ryukyus OkinawaJAPAN

Echo path estimation in echo canceling for teleconference system is a problem in double-talk *** correlation function based algorithms were defined by the authors to solve this *** this paper,in order to improve the convergence speed of correlation function based algorithm,we propose a new modified proportionate step-size adaptation method,and then implement it into frequency domain extended correlation lms algorithm（FEClms）.The new algorithm is called proportionate frequency domain extended correlation lms algorithm（PFEClms）.The computer simulation results support the theoretical findings and verify the robustness of the proposed algorithm in the double-talk situation.

关键词： Echo canceling lms algorithm Doubletalk condition Correlation function Proportionate step-size adaptation method

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