最小Rayleigh熵恒模信号分离算法
An Algorithm for Constant Modulus Signal Separation Exploiting Minimal Rayleigh Entropy
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摘要: 提出了一种最小Rayleigh熵恒模信号分离算法(MRE-AOCMSS)。该算法通过对代价函数作适当的变换，得到新的协方差矩阵，然后构造出协方差矩阵的Rayleigh熵，再通过最小化Rayleigh熵得到用以恢复恒模信号的最佳权矢量。该算法能够准确地分离出期望信号并抑制掉干扰，从而有效地克服了常规恒模算法(CMA) 对同信道干扰(CCI)功率大于信号功率的情况敏感这一缺点。计算机仿真结果说明了该算法的有效性。
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关键词:
- 阵列信号处理;恒模算法;特征值分解
Abstract: 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. -
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