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2014 International Conference on Advanced Control, Automation and Robotics (ACAR2014)

作者： Y.C.Guo H.P.Wu H.Wang College of Electronic and Information Engineering Nanjing University of Information Science and Technology

ISBN: (纸本)9781784660468

Bat algorithm(BA) is a new meta-heuristic optimization algorithm, which has been developed rapidly and applied in different optimization tasks in recent years and has the echo location characteristic, fast convergence speed, and high optimization accuracy. Based on these characteristics of the BA, we introduce the BA to constant modulus blind equalization algorithm(CMA) to establish a new constant modulus blind equalization algorithm based on the BA(BACMA), so that this proposed algorithm can solve the problem of local convergence for the CMA. In this proposed algorithm, the position vectors of bats are optimized to obtain the global optimal position vector, which is used as the initial optimal weight vector of the CMA. The experimental results show that the proposed algorithm not only can increase the convergence speed but also has the minimum mean square error.

关键词： constant modulus algorithm bat algorithm position vector optimization process

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Rayleigh Distribution Based Variable Step-Size constant modulus Blind Equalization algorithm

Rayleigh Distribution Based Variable Step-Size Constant Modu...

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第一届国际测量仪器与测试自动化学术会议

作者： Han Yingge Guo Yecai (Anhui university of science and technology, Huainan 232001 China)

Aiming at the slow convergence rates of constant modulus algorithm(CMA) and Residual Error based Variable step-size CMA (REVCMA), a novel Rayleigh Distribution based on Variable step-size CMA (RDVCMA) is proposed. In this proposed algorithm, the Rayleigh distribution function, which has two parameters and whose independent variable is an error function, is used as variable step-size. The convergence rates of the proposed RDVCMA can be improved by regulating its two parameters. We analyze the influence of the two parameters on the convergence rates and give the regulation principle of the two parameters. Simulation tests with telephone channel using 4QAM and 4PSK are carried out, respectively. The simulation results have indicated that the convergence rates of the proposed RDVCMA are faster than those of the CMA and the REVCMA under condition of the same steady state error. Accordingly, Rayleigh Distribution based Variable step-size CMA (RDVCMA) has better the performance of real time information retrieval and practicability.

关键词： constant modulus algorithm convergence rates variable step-size rayleigh distribution telephone channel.

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A new blind equalization method based on negentropy minimization for constant modulus signals

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IEICE TRANSACTIONS ON COMMUNICATIONS 2008年第4期E91B卷 1207-1210页

作者： Choi, Sooyong Chung, Jong-Moon Jeong, Wun-Cheol Yonsei Univ Sch Elect & Elect Engn Seoul 120749 South Korea ETRI Taejon South Korea

A new blind adaptive equalization method for constant modulus signals based on minimizing the approximate negentropy of the estimation error for a finite-length equalizer is presented. We consider the approximate negentropy using nonpolynomial expansions of the estimation error as a new performance criterion to improve the performance of a linear equalizer using the conventional constant modulus algorithm (CMA). Negentropy includes higher order statistical information and its minimization provides improved convergence, performance, and accuracy compared to traditional methods, such as the CMA, in terms of the bit error rate (BER). Also, the proposed equalizer shows faster convergence characteristics than the CMA equalizer and is more robust to nonlinear distortion than the CMA equalizer.

关键词： blind equalization negentropy information theoretic learning constant modulus algorithm

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Stabilised blind interference suppression of constant modulus-based adaptive array over Rayleigh fading channels by initial antenna selection

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IET MICROWAVES ANTENNAS & PROPAGATION 2019年第11期13卷 1876-1882页

作者： Maruta, Kazuki Ahn, Chang-Jun Chiba Univ Grad Sch Engn Chiba Japan

This article proposes an initial antenna selection for constant modulus-based blind interference suppression algorithms to stabilise their prominent interference suppression performance. constant modulus algorithm (CMA) is a well-known blind adaptive array scheme, but it cannot suppress the interference when signal-to-interference power ratio (SIR) is <0 dB. It faces strong limits on their applicable region over Rayleigh fading channels where instantaneous channel gain fluctuates over 10 dB range. Even if the expected desired signal strength is larger than interference, CMA may still miscapture the interference and incorrectly suppress the desired signal. The authors' proposal is simplified approach to select the antenna element whose reception power is maximal. Certain antenna element can be expected to capture the desired signal precisely under the condition where SIR is statistically positive, so that the CMA processor can utilise it as an initial input. This condition will be ensured by increasing antenna element number, supported by the trends that base station antenna elements are going massive. Computer simulations verifies improved interference suppression performance provided by the proposed scheme. This article also verified applicability for multi-modulus algorithm to accommodate M-ary quadrature amplitude modulation (QAM) use.

关键词： Rayleigh channels radiofrequency interference quadrature amplitude modulation interference suppression adaptive antenna arrays radio reception initial antenna selection constant modulus-based blind interference suppression algorithms constant modulus algorithm CMA signal-to-interference power ratio Rayleigh fading channels base station antenna elements multimodulus algorithm stabilised blind interference suppression interference suppression performance instantaneous channel gain fluctuation constant modulus-based adaptive array scheme SIR M-ary quadrature amplitude modulation QAM

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Bounds for the MSE performance of constant modulus estimators

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IEEE TRANSACTIONS ON INFORMATION THEORY 2000年第7期46卷 2544-2560页

作者： Schniter, P Johnson, CR Ohio State Univ Dept Elect Engn Columbus OH 43210 USA Cornell Univ Dept Elect Engn Ithaca NY 14853 USA

The constant modulus (CM) criterion has become popular in the design of blind linear estimators of sub-Gaussian independent and identically distributed (i.i.d.) processes transmitted through unknown linear channels in the presence of unknown additive interference. In this paper, me present an upper bound for the conditionally unbiased mean-squared error (USME) of CM-minimizing estimators that depends only on the source kurtoses and the UMSE of Wiener estimators. Further analysis reveals that the extra UMSE of CM estimators can be upper-bounded by approximately the square of the Wiener (i.e., minimum) UMSE. Since our results hold for vector-valued finite-impulse response/infinite-impulse response (FIR/IIR) linear channels, vector-valued FIR/IIR estimators with a possibly constrained number of adjustable parameters, and multiple interferers with arbitrary distribution, they confirm the longstanding conjecture regarding the general mean-square error (MSE) robustness of CM estimators.

关键词： blind beamforming blind deconvolution blind equalization blind multiuser detection constant modulus algorithm Godard algorithm

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algorithm for constant modulus signal separation exploiting minimal Rayleigh entropy

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Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology 2005年第10期27卷 1531-1534页

作者： Huang, Lei Wu, Shun-Jun Zhang, Lin-Rang National Key Lab. for Radar Signal Processing Xidian Univ. Xi'an 710071 China

An algorithm Of constant modulus Signal Separation based on Minimal Rayleigh Entropy (MRE-AOCMSS) is presented. Utilizing an error cost function, a novel covariance matrix is constructed. Then an optimal weight vector used to extract the desired constant modulus signal is obtained via minimizing the Rayleigh entropy. Employing the algorithm, interferences can be cancelled effectively. The algorithm is still valid when co-channel interference signal's power is much greater than the desired signal's power. The simulation results indicate that this MRE-AOCMSS algorithm is effective in terms of constant modulus signal separation and interference suppression.

关键词： Array signal processing constant modulus algorithm Eigendecomposition

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Blind equalizer for constant-modulus signals based on Gaussian process regression

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SIGNAL PROCESSING 2012年第6期92卷 1397-1403页

作者： Hwang, Kyuho Choi, Sooyong Yonsei Univ Sch Elect & Elect Engn Seoul 120749 South Korea

A new blind equalization method for constant modulus (CM) signals based on Gaussian process for regression (GPR) by incorporating a constant modulus algorithm (CMA)-like error function into the conventional GPR framework is proposed. The GPR framework formulates the posterior density function for weights using Bayes' rule under the assumption of Gaussian prior for weights. The proposed blind GPR equalizer is based on linear-in-weights regression model, which has a form of nonlinear minimum mean-square error solution. Simulation results in linear and nonlinear channels are presented in comparison with the state-of-the-art support vector machine (SVM) and relevance vector machine (RVM) based blind equalizers. The simulation results show that the proposed blind GPR equalizer without cumbersome cross-validation procedures shows the similar performances to the blind SVM and RVM equalizers in terms of intersymbol interference and bit error rate. (C) 2011 Elsevier B.V. All rights reserved.

关键词： Gaussian process regression Blind equalization constant modulus algorithm Machine learning

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Blind multiuser detection of STBC signals using hybrid constant modulus and subspace methods

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IEE PROCEEDINGS-COMMUNICATIONS 2006年第2期153卷 159-164页

作者： Lambotharan, S Luo, Y Toker, C Alty, SR Gani, M Cardiff Univ Sch Engn Ctr Digital Signal Proc Cardiff Wales Samsung Elect Res Inst Staines Middx England Kings Coll London Div Engn Ctr DSP Res London WC2R 2LS England

A blind multi-user detection algorithm for space-time block coded (STBC) signals is proposed based upon subspace methods and constant modulus algorithms for multiple antenna based receivers. The subspace method is used to determine blindly the multiuser detector required for the mitigation of multi-user interference and to coherently combine multipath and multiple receive antenna signals. It is shown that this subspace method for STBC could however, solve this problem only up to a matrix ambiguity and the structure of this ambiguity matrix looks like a channel matrix obtained for a Single user STBC system with frequency non-selective channel. Hence, the remaining problem is shown to be equivalent to blind equalisation of a single user STBC in flat fading channels. A tap constrained constant modulus algorithm is proposed to solve the remaining problem. In this blind method, only the signature waveform of the user of interest is assumed to be known, and the signature waveforms of all other users in addition to the channel impulse responses of all the users are assumed to be unknown. Simulation results confirm Superior performance of the proposed method over conventional non-blind matched filters.

关键词： Signal detection Antenna arrays receiving antennas space-time block coded signal subspace method multipath signal channel matrix Electromagnetic compatibility and interference channel impulse response multiuser interference mitigation matrix algebra blind equalisers Algebra blind multiuser detection algorithm block codes STBC constant modulus algorithm Communication channel equalisation and identification space-time codes antenna arrays signature waveform fading channels transient response flat fading channel blind equalisation multipath channels Codes interference suppression multiple antenna based receiver Radio links and equipment multiuser detection

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On the convergence of blind adaptive equalizers for constant modulus signals

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IEEE TRANSACTIONS ON COMMUNICATIONS 2000年第5期48卷 795-803页

作者： Rupp, M Sayed, AH Univ Calif Los Angeles Dept Elect Engn Los Angeles CA 90095 USA Bell Labs Lucent Technol Holmdel NJ 07733 USA

This paper studies the behavior of the error sequence of stop-and-go variants of two adaptive blind equalizers, namely CMA2-2 and Sate's algorithm. It is shown that for transmitted signals with constant modulus gamma, the equalizer output can be made to lie within the circle of radius gamma root c infinitely often, for some value of c that is only slightly larger than one.

关键词： adaptive equalization constant modulus algorithm feedback l(2)-stability positive-real function small gain theorem

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Improved convergence of fractionally-spaced constant modulus equalisers in presence of noise

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ELECTRONICS LETTERS 1998年第17期34卷 1644-1646页

作者： Skowratananont, K Lambotharan, S Chambers, JA Univ London Imperial Coll Sci Technol & Med Dept Elect Engn Signal Proc & Digital Syst Sect London SW7 2BT England

The constant modulus algorithm (CMA) applied to a fractionally spaced equaliser, with length and zero constraints on the channel, has been shown to be globally convergent when there is no channel noise. However, in the presence of channel noise, the performance of the CMA can suffer because of the existence of undesired local minima corresponding to different delays. A new technique is introduced based on the Gram-Schmidt orthogonalisation, to obtain convergence to an optimum delay where the mean square error is minimum.

关键词： Electromagnetic compatibility and interference zero constraints undesired local minima Interpolation and function approximation (numerical analysis) fractionally-spaced constant modulus equalisers covariance matrices Gram-Schmidt orthogonalisation filtering theory binary PSK different delays blind equalisation channel noise minimum mean square error delays interference suppression optimum delay adaptive equalisers adaptive signal processing length constraints convergence of numerical methods Radio links and equipment improved convergence Information theory Signal processing and detection constant modulus algorithm least mean squares methods

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