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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： Ye-cai Guo Chao Yang Ying-ge Han Nanjing University of Information Science &Technology Nanjing 210044P.R.China Anhui University of S Anhui University of Science and Technology Huainan 232001P.R.China

Aiming at the slow convergence rate and the high mean square error of constant modulus algorithm(CMA) ,a new orthogonal Wavelet Transform based Sign Decision Dual-mode blind equalization algorithm(WT-SDDA) is *** the proposed algorithm,orthogonal Wavelet Transform based constant modulus algorithm (WT-CMA) is integrated with orthogonal Wavelet Transform based Stop-and-Go Changeable modulus blind equalization algorithm (WT-SG-CMA),and the switch process is decided by the sign *** tests with underwater acoustic channel shows that the proposed WT-SDDA algorithm outperforms the CMA and the WT-CMA in the convergence rates and residual mean square error and that it has the faster convergence rate than the WT-SG-CMA under condition of the same residual error.

关键词： constant modulus algorithm wavelet transform dual-mode underwater acoustic channel convergence rate

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Decision Feedback Blind Equalization algorithm Based on Equal Gain Combining Time Diversity

Decision Feedback Blind Equalization Algorithm Based on Equa...

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第二届国际测量仪器与测试自动化学术会议

作者： Guo Yecai~(1 3)He Long-qing~2 Zhu Jie~1 (1.Anhui University of Science and Technology Huainan 232001 China) (2.Nanjing Xiaozhuang University Nanjing 210017 China) (3.Nanjing University of Information Science & Technology Nanjing 210044 China)

＜正＞Inter-Symbol Interference（ISI）,caused by the multi-path and fading channels at the receiver,affects communication quality *** order to improve the communication system performance and to decrease Bit Error Rate（BER）,modified constant modulus algorithm and Decision Feedback blind Equalization based on Equal Gain Combining time diversity is proposed in order to analyse the performances of time diversity and decision feedback *** proposed algorithm employs the time diversity for reducing the effect of fading channel on communication quality and utilizes decision feedback equalizer to eliminate ISI,uses Modified constant modulus algorithm（MCMA）to overcome phase rotations. Accordingly,the proposed algorithm has faster convergence speed and smaller mean square error,and its validity is verified by computer simulation with multi-path underwater acoustic channel.

关键词： Decision feedback blind equalization equal gain combining time diversity constant modulus algorithm multi-path underwater acoustic channel

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An adaptive receiver for constant modulus signal interference suppression in civil aviation air-ground communication

An adaptive receiver for constant modulus signal interferenc...

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Asia-Pacific Conference on Communications

作者： Wu, Renbiao Huang, Jianyu Zhang, Chuntian Zhong, Lunlong Shi, Qingyan Ma, Jianli Tianjin Univ Dept Elect Engn Tianjin 300072 Peoples R China Civil Aviat Univ China Tianjin Key Lab Adv Signal Proc Tianjin 300300 Peoples R China

ISBN: (纸本)9781424413737

This paper focuses on the main interference signals of the civil aviation air-to-ground communication, which characteristics is constant modulus. An interference suppression receiver based on constant modulus algorithm (CMA) and adaptive cancelling technique is developed in this paper. The constant modulus algorithm is used to extract the reference signal from mixed signal and adaptive canceller is used to subtract the constant modulus interference The experimental results show that the system is applicable and effective.

关键词： adaptive receiver constant modulus algorithm civil aviation air-ground communication

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ADAPTIVE STEP-SIZE constant modulus algorithm FOR BLIND MULTIUSER DETECTION IN DS-CDMA SYSTEMS

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Journal of Electronics(China) 2004年第1期21卷 10-15页

作者： SunLiping HuGuangrui Dept.ofElectronicEng. ShanghaiJiaotongUniv.Shanghai200030

Blind Adaptive Step-size constant modulus algorithm (AS-CMA) for multiuser detection in DS-CDMA systems is presented. It combines the CMA and the concept of variable step-size, uses a second LMS algorithm for the step size. It adjusts the step-size according to the minimum output-energy principle within a specified range, thus overcomes the problems of bad effect of fixed step-size LMS algorithm. Compared with Adaptive Step-size LMS (AS-LMS) algoritilrn, through simulations, this algorithm can adapt the changes of the environment, suppress multiple access interference in the dynamic environment and the stability of Signal to Interference Ratio (SIR) is superior to that of AS-LMS.

关键词： CDMA constant modulus algorithm Blind interference suppression

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A new blind-equalization algorithm for an FIR SIMO system driven by MPSK signal

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS 2007年第3期54卷 227-231页

作者： Gu, Nong Xiang, Yong Tan, Min Cao, Zhiqiang Deakin Univ Sch Engn & Informat Technol Geelong Vic 3217 Australia Chinese Acad Sci Inst Automat Beijing 100080 Peoples R China

We consider the problem of blind equalization of a finite impulse response and single-input multiple-output system driven by an M-ary phase-shift-keying signal. The existing singlemode'algorithms for this problem include the constant modulus algorithm (CMA) and the multimodulus algorithm (MMA). It has been shown that the MMA outperforms the CMA when the input signal has no more than four constellation points, i.e., M <= 4. In this brief, we present a new adaptive equalization algorithm that jointly exploits the amplitude and phase information of the input signal. Theoretical analysis shows that the proposed algorithm has less mean square error, i.e., better equalization performance, at steady state than the CMA regardless of the value of M. The superior performance of our algorithm to the CMA and the NIMA is validated by simulation examples.

关键词： blind system equalization constant modulus algorithm finite-impulse response (FIR) single-input multiple-output (SIMO) system M-ary phase-shift-keying (MPSK) signal

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Blind equalization using neural network in non-stationary environment

Journal of the Institution of Engineers (India), Part CP: Co...

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Journal of the Institution of Engineers (India), Part CP: Computer Engineering Division 2007年第MAY期88卷 25-31页

作者： Pandey, R. Ghanekar, U. Department of Electronics and Communication Engineering NIT Kurukshetra 136119 India

Most of the cost functions used for blind equalization are non -con vex and non -linear functions of tap weights, when implemented using linear finite impulse response (FIR) filter structures. Thus, a blind equalization scheme with a non -linear structure that can form non -convex decision regions is desirable. In this paper, a scheme for blind equalization of non-stationary channels using complex valued feed-forward neural network is presented. The complex valued activation function, suitable for non-stationary environment is introduced and the learning algorithm based on the constant modulus algorithm (CMA) cost function is derived. The improved performance of the proposed scheme is confirmed through computer simulations.

关键词： Blind equalization constant modulus algorithm Neural networks Non-stationary environment

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Convex combination of blind adaptive equalizers with different tracking capabilities

Convex combination of blind adaptive equalizers with differe...

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32nd IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Silva, Magno T. M. Nascimento, Vitor H. Univ Sao Paulo Escola Politecn Dept Elect Engn Syst Av Prof Luciano GualbertoTrav 3158 BR-05508900 Sao Paulo Brazil

ISBN: (纸本)1424407281

We propose a convex combination of two blind equalizers adapted respectively by CMA (constant modulus algorithm) and SWA (Shalvi-Weinstien algorithm). The performance of the proposed scheme is, in the worst case, as good as that of the best of its components. This behavior provides a good tracking capability, since both CMA or SWA may have a better tracking performance, depending on the kind of nonstationary environment. A steady-state analysis (using energy conservation) is also presented, considering both the proposed scheme, and the convex combination of two CMAs.

关键词： adaptive filters blind equalization convex combination energy conservation tracking analysis constant modulus algorithm

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A modulus compensation algorithm for shape self-calibration of paired sensors based antennas

A modulus compensation algorithm for shape self-calibration ...

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2007 IEEE Aerospace Conference

作者： Santori, Agnes Chabriel, Gilles Barrere, Jean Jauffret, Claude Medynski, Dominique Off Natl Etud & Rech Aerosp Dept Radar & Electromagnetism BA 701 F-13661 Salon Air France Univ Sud Toulon & Var GESSY F-83130 La Garde France

ISBN: (纸本)9781424405244

This paper is concerned with the array shape self-calibration problem when the array gain pattern of each sensor is spatially dependent and unknown. We adapt a constant modulus Approach (CMA) to improve the precision in the sensor localization. We will see how this original method conducts to build particular antenna configurations appropriate for self-calibration. The performance improvement lies in a strong bias reduction.

关键词： array shape self-calibration constant modulus algorithm

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On blind adaptive decision feedback equalization for block QAM signals

On blind adaptive decision feedback equalization for block Q...

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41st Annual Conference on Information Sciences and Systems (CISS 2007)

作者： Cole-Rhodes, Arlene Beasley, Antoinette Morgan State Univ Baltimore MD 21251 USA

ISBN: (纸本)9781424410361

A two phase decision feedback equalizer (DFE) has been proposed for block QAM signals. This equalizer operates initially in blind mode, and then switches to a decision feedback mode once the error level in the equalizer output is determined to be low enough for successful equalization. In this work an automatic condition for switching between these two modes is introduced, which is based on a threshold test of a simple easily computed measure called the' block average variance'. The blind CMA+AMA equalizer [3] is used to initialize the DFE scheme, and performance evaluation results are presented for a random channel. Performance is evaluated using average symbol error rate (SER). Application of this equalizer to the case of a SIMO channel is discussed.

关键词： blind equalizers constant modulus algorithm DFE block QAM transmission SIMO channel

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A new blind nulling algorithm for CDMA mobile satellite communication systems

A new blind nulling algorithm for CDMA mobile satellite comm...

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2nd International Conference on Space Information Technology

作者： Liu Yunzhi Wang Huali Wang Zhihui Nanjing Telecommun Technol Inst Nanjing Peoples R China PLAUST ICE Nanjing Jiangsu Peoples R China Jiangnan Inst Comp Technol Wuxi Peoples R China

ISBN: (纸本)9780819469601

A new anti-jamming method is proposed combining adaptive array with direct sequence spread spectrum (DSSS) techniques in mobile satellite communication system. Different with the conventional depreading process, the proposed method modifies DSSS despreador, in which the output data are blindly processed. It overcomes the problem that DSSS signal often has very lower SNR, which is difficult to be captured in constant modulus array processing, especially when strong interference/jamming signals exist coincidentally.

关键词： CDMA mobile satellite communication constant modulus algorithm anti-jamming

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