QAM信号自适应信道均衡的改进常模算法

信号处理 Pub Date : 2001-08-06 DOI:10.1109/SSP.2001.955349

M. Amin, Lin He, C. Reed, R. Malkemes

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引用次数: 14

摘要

提出了一种改进的常模算法(MCMA)，用于QAM信号的室内无线信道自适应均衡。该算法最小化误差代价函数，其中包括均衡器输出的幅度和相位。除了常规恒模算法(CMA)提供的幅度相关项外，代价函数还包括信号星座匹配误差(CME)项。该术语加速了收敛，并允许均衡器切换到直接决策(DD)或任何软决策模式，比单独应用CMA更快。星座匹配误差项采用具有理想性质的多项式构造。MCMA应用于决策反馈均衡器，并显示出比双模式技术提供更好的性能。

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A modified constant modulus algorithm for adaptive channel equalization for QAM signals

A modified constant modulus algorithm (MCMA) for adaptive equalization of the wireless indoor channel for QAM signals is presented. The algorithm minimizes an error cost function that includes both the amplitude and phase of the equalizer output. In addition to the amplitude-dependent term that is provided by the conventional constant modulus algorithm (CMA), the cost function includes a signal constellation matched error (CME) term. This term speeds up convergence and allows the equalizer to switch to decision directed (DD), or any soft-decision mode, faster than the CMA applied alone. The constellation-matched error term is constructed using polynomials with desirable properties. The MCMA is applied to a decision feedback equalizer and shown to provide improved performance over dual mode techniques.

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来源期刊

信号处理

自引率

0.00%

发文量

5812

期刊介绍： Journal of Signal Processing is an academic journal supervised by China Association for Science and Technology and sponsored by China Institute of Electronics. The journal is an academic journal that reflects the latest research results and technological progress in the field of signal processing and related disciplines. It covers academic papers and review articles on new theories, new ideas, and new technologies in the field of signal processing. The journal aims to provide a platform for academic exchanges for scientific researchers and engineering and technical personnel engaged in basic research and applied research in signal processing, thereby promoting the development of information science and technology. At present, the journal has been included in the three major domestic core journal databases "China Science Citation Database (CSCD), China Science and Technology Core Journals (CSTPCD), Chinese Core Journals Overview" and Coaj. It is also included in many foreign databases such as Scopus, CSA, EBSCO host, INSPEC, JST, etc.