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基于SMI-CMA联合自适应算法的性能分析 被引量：2

Steady-State Analysis Based on Combination of Adaptive SMI Algorithm and CMA
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摘要 恒模算法 (CMA)被广泛地应用到盲自适应波束形成中 ,除了传输信号波形具有恒定的包络外 ,CMA不需要先验知识。基于SMI -CMA算法的恒模 (CM )阵列级联的结构 ,由SMI算法决定CMA的初始权向量 ,系统可以分离多个同信道信源 ,在干扰信号较强时 ,仍有稳定的SINR输出 ,具有较好的收敛速度。仿真结果也证明了SMI Constant modulus algorithm (CMA)is a well-known blind adaptive beamforming method as it requires no pre-knowledge about the signal except that the transmitted signal waveform should have a constant envelope. The multistage constant modulus(CM) array is a cascaded adaptive beamforming system which can separate several narrowband co-channel signals without training. The main idea of the SMI-CMA is to use SMI to determine the initial weight for CMA operation. The method can output the desired signal in despite of the interfering signal is stronger than the desired signal. Computer simulations are presented to demonstrate the convergence properties and robustness of SMI-CMA .
作者 毛志杰 徐利民 吴瑛
机构地区 信息工程大学
出处 《现代雷达》 CSCD 北大核心 2003年第10期41-45,共5页 Modern Radar
关键词 恒模算法 SMI—CMA算法 阵列天线 自适应算法 协方差矩阵求逆 移动通信 盲自适应波束形成 Array antennas, Adaptive algorithm, CMA, SMI
分类号 TN929.5 [电子电信—通信与信息系统]
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参考文献8

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同被引文献14

  • 1Qi Chongying, Zhang Yongshun, Wang Yongliang. Spatial difference smooth for DOA estimation of coherent signal [ J ]. IEEE Signal Processing Letters,2005,12 ( 11 ) :800 - 802.
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  • 7Pesavento M, Gershman A B. Maximum-likelihood direction-of-arrival estimation in the presence of unknown nonuniform noise [ J ]. IEEE Trans. on Signal Processing, 2001, 49(7) :1310 -1324.
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现代雷达
2003年 第10期

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