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Convergence analysis of multi-point noise controller

IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES 1997年第5期E80A卷 844-848页

作者： Ikeda, K Faculty of Engineering Kanazawa University Kanazawa-shi 920 Japan

It is usual to set a single-point noise controller at each point in order to cancel noises at multiple cancelling points. How should we adapt controllers in such a case? The easiest way is to let them work individually, though it is possible to use all the error signals for one controller. In this case, there is a problem that the controllers do not necessarily converge. In this paper, we consider the conditions of the paths under which the controllers converge when they work individually.

关键词： multi-point noise controller lms algorithm

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STOCHASTIC GRADIENT algorithmS WITH A GRADIENT-ADAPTIVE AND LIMITED STEP-SIZE

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IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES 1994年第3期E77A卷 534-538页

作者： SUGIYAMA, A NEC Corp Kawasaki-shi Japan

This paper proposes new algorithms for adaptive FIR filters. The proposed algorithms provide both fast convergence and small final misadjustment with an adaptive step size even under an interference to the error. The basic algorithm pays special attention to the interference which contaminates the error. To enhance robustness to the interference, it imposes a special limit on the increment/decrement of the step-size. The limit itself is also varied according to the step-size. The basic algorithm is extended for application to nonstationary signals. Simulation results with white signals show that the final misadjustment is reduced by up to 22 dB under severe observation noise at a negligible expense of the convergence speed. An echo canceler simulation with a real speech signal exhibits its potential for a nonstationary signal.

关键词： ADAPTIVE FILTER lms algorithm STEP SIZE FAST CONVERGENCE MISADJUSTMENT INTERFERENCE ROBUSTNESS ECHO CANCELLATION

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Adaptive beamformer based on the augmented complex least mean square algorithm

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JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS 2016年第13期30卷 1712-1730页

作者： Orozco-Tupacyupanqui, Walter Perez-Meana, Hector Nakano-Miyatake, Mariko Natl Polytech Inst Postgrad Sect Mech Elect Engn Sch Mexico City DF Mexico

In this article, an adaptive beamforming system based on the augmented complex least mean square algorithm is analysed. In this approach, the adaptive filter is used as a widely linear system. The second-order statistical information of the signals involved in the array is exploited. Under this consideration, the ability of the adaptive array to minimize the effects of interferences and complex white noise could be enhanced. The equations for the optimal weights and the array factor are derived for the proposed beamforming system. Computer simulations have been performed to evaluate the performance of the adaptive array, and the results were compared with two of the most common standard adaptive beamforming algorithms: the least mean square and recursive least square. The numerical simulations show that the proposed adaptive array has a better performance in time and spatial domain as compared to the classical beamforming systems.

关键词： Augmented complex lms beamforming widely linear beamformer (WLB) smart antenna array second-order signal processing lms algorithm RLS algorithm radio communication systems

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Variable gain parameter estimation algorithms for fast tracking and smooth steady state

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AUTOMATICA 2000年第7期36卷 1001-1008页

作者： Bai, EW Huang, YF Univ Iowa Dept Elect & Comp Engn Iowa City IA 52242 USA Univ Notre Dame Dept Elect Engn Notre Dame IN 46556 USA

Based on the ideas of the set-membership identification, we present in this paper variable gain least mean-square (lms) and weighted recursive least-squares (WRLS) algorithms. It is shown that the proposed algorithms possess a fast tracking ability to the variations of the parameter and at the same time are less sensitive to noise leading to a smooth steady state. (C) 2000 Elsevier Science Ltd. All rights reserved.

关键词： parameter estimation least-squares algorithm lms algorithm time-varying system set-membership identification

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Condition monitoring of electrolytic capacitors

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INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT 2011年第4期2卷 325-332页

作者： Amaral, Acacio M. R. Marques Cardoso, A. J. ISEC DEIS Polytech Inst Coimbra Rua Pedro Nunes P-3030199 Coimbra Portugal Univ Coimbra DEEC Inst Telecomunicacoes P-3030290 Coimbra Portugal

This paper presents a very simple and cheap off-line technique that is able to evaluate the aluminum electrolytic capacitors condition. Aluminum electrolytic capacitors equivalent circuit is composed by an internal resistance and a capacitance. The capacitors internal resistance increases with aging while the capacitance decreases. Manufacturers define the end of life limit of the capacitor when its internal resistance doubles its initial value or the capacitance changes more than 20% when it is compared with the initial one. The proposed technique evaluates the capacitor condition through the identification of both capacitor internal resistance and capacitance. To compute both capacitor internal resistance and capacitance a very simple, cheap, and practical experimental setup is proposed.

关键词： Technologies and methodologies for diagnostics and prognostics Aluminum electrolytic capacitors lms algorithm

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DOA/MoM-based ABF algorithm for SINR enhancement

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IET COMMUNICATIONS 2019年第11期13卷 1565-1572页

作者： Dawood, Heba S. Hussein, Amr Hussein Gemeay, Entesar Attia, Mahmoud Ahmed Tanta Univ Fac Engn Elect & Elect Commun Dept Tanta Egypt

In this study, a new non-iterative adaptive beamforming (ABF) algorithm for the signal-to-interference and noise ratio (SINR) enhancement is proposed. It is based on a combination between the direction of arrival (DOA) estimation and the method of moments (MoM). The proposed algorithm is denoted as DM/ABF which stands for DOA and MoM-based ABF. The DOA is used to provide accurate estimates for the directions of the desired and interfering signals. On the basis of the estimated DOAs, a dedicated shaped pattern version of the ordinary pattern is created and applied as the desired input to the MoM algorithm. The MoM is used for shaped pattern synthesis to estimate the weights vector required to provide deep nulls toward the interfering signals and directs the main beam toward the desired signal. In this case, the weights vector does not update iteratively at each received signal sample as in case of least mean square (lms) and recursive least squares (RLSs) algorithms, but it is updated only when the estimated DOAs of the desired and interfering signals are changed. Furthermore, a large number of close nulls can be produced without the need for additional antenna elements compared with other algorithms.

关键词： direction-of-arrival estimation array signal processing method of moments least mean squares methods adaptive antenna arrays antenna radiation patterns interference (signal) SINR enhancement smart antenna systems adaptive beamforming array pattern desired direction interfering signals noniterative ABF algorithm arrival estimation desired signals dedicated shaped pattern version ordinary pattern desired input MoM algorithm shaped pattern synthesis weights vector desired signal received signal sample direction-of-arrival MoM-based ABF algorithm signal-to-interference-and-noise ratio enhancement method-of-moments least mean square algorithm recursive least squares algorithm lms algorithm RLS algorithm

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A generalized data windowing scheme for adaptive conjugate gradient algorithms

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SIGNAL PROCESSING 2009年第5期89卷 894-900页

作者： Zhao, Shengkui Man, Zhihong Khoo, Suiyang Nanyang Technol Univ Sch Comp Engn Singapore 639798 Singapore Monash Univ Malaysia Sch Engn Bandar Sunway 46150 Petaling Jaya Malaysia

The performance of the modified adaptive conjugate gradient (CG) algorithms based on the iterative CG method for adaptive filtering is highly related to the ways of estimating the correlation matrix and the cross-correlation vector. The existing approaches of implementing the CC algorithms using the data windows of exponential form or sliding form result in either loss of convergence or increase in misadjustment. This paper presents and analyzes a new approach to the implementation of the CG algorithms for adaptive filtering by using a generalized data windowing scheme. For the new modified CC algorithms, we show that the convergence speed is accelerated, the misadjustment and tracking capability comparable to those of the recursive least squares (RLS) algorithm are achieved. Computer simulations demonstrated in the framework of linear system modeling problem show the improvements of the new modifications. (c) 2008 Elsevier B.V. All rights reserved.

关键词： Conjugate gradient method Adaptive filtering lms algorithm Recursive least squares

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A Mixed (2, p-like)-Norm Penalized Least Mean Squares algorithm for Block-Sparse System Identification

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CIRCUITS SYSTEMS AND SIGNAL PROCESSING 2018年第10期37卷 4683-4694页

作者： Wei, Ye Zhang, Yonggang Wang, Chengcheng Zheng, Yahong Rosa Harbin Engn Univ Coll Automat Harbin 150001 Heilongjiang Peoples R China Nanyang Technol Univ Sch Elect & Elect Engn Singapore 639798 Singapore Missouri Univ Sci & Technol Dept Elect & Comp Engn Rolla MO 65409 USA

This work presents a new mixed (2,p-like)-norm penalized least mean squares (lms) algorithm for block-sparse system identifications where the nonzero coefficients in the impulse response vector of unknown systems are structured in a single cluster or multiple clusters. The new algorithm divides the tap-weight vector into groups of equal-sized sub-vectors and then introduces a mixed -norm constraint on the filter tap-weight vector in addition to the original mean-square-error cost function. The parameter p in the constraint takes any value between zero and two, thus improving the identification performance of the block-sparse systems. The effect of the parameter p and the group size on the performance of the proposed algorithm is studied, and general guidelines for choosing these two parameters are provided to facilitate practical use. The advantage of the proposed scheme is that no comparison operations are required while algebraic operations are of the same order as the block-sparse lms algorithm. Numerical simulations show that the proposed norm-based block-sparsity-aware algorithms and single-norm penalized lms strategies.

关键词： Adaptive filtering l(2,p-like) norm lms algorithm Block-sparse system identifications

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A Fast and Precise Blind I/Q Mismatch Compensation for Image Rejection in Direct-Conversion Receiver

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ETRI JOURNAL 2014年第1期36卷 12-21页

作者： Kim, Suna Yoon, Dae-Young Park, Hyung Chul Yoon, Giwan Lee, Sang-Gug Korea Adv Inst Sci & Technol Dept Elect Engn Taejon 305701 South Korea Seoul Natl Univ Sci & Technol Dept Elect & IT Media Engn Seoul South Korea

In this paper, we propose a new digital blind inphase/quadrature-phase (I/Q) mismatch compensation technique for image rejection in a direct-conversion receiver (DCR). The proposed image-rejection circuit adopts DC offset cancellation and a sign-sign least mean squares (lms) algorithm with a unique step size adaptation both for a fast and precise I/Q mismatch estimation. In addition, several performance-optimizing design considerations related to accuracy, speed, and hardware simplicity are discussed. The implementation of the proposed circuit in an FPGA results in an image-rejection ratio (IRR) of 65 dB, which is the best performance with modulated signals, along with an adaptation time of 0.9 seconds, which is a tenfold increase in the compensation speed as compared to previously reported circuits. The proposed technique will be a promising solution in the area of image rejection to increase both the speed and accuracy of future DCRs.

关键词： Image rejection l/Q gain mismatch l/Q phase mismatch DC offset direct-conversion receiver DCR low-IF zero-IF lms algorithm adaptive step size

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A Modified Adaptive Filtering Acquisition Method for PN Code with Data Modulation

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IEEE COMMUNICATIONS LETTERS 2011年第8期15卷 869-871页

作者： Liu, Yunzhi Pan, Yahan Yao, Fuqiang Nanjing Telecommun Technol Inst Nanjing Peoples R China

Adaptive filtering acquisition method has been proved to be an effective pseudo-noise (PN) code acquisition method in DS-SS system, which is especially useful for long PN code acquisition in low Signal to Noise Ratio (SNR) environment. In order to make use of this method in those PN code acquisition systems with data modulation, a modified adaptive filtering is proposed in this paper, where the effect of polarity reversion caused by data modulation on PN code is removed by employing absolutely successive difference technique in both the received signals and local generated PN code. Compared with the adaptive filtering acquisition method, even with data modulation, the proposed method can attain almost similar acquisition performance, which is tested by simulations.

关键词： Acquisition adaptive filtering lms algorithm PN code

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