最小Rayleigh熵恒模信號分離算法
An Algorithm for Constant Modulus Signal Separation Exploiting Minimal Rayleigh Entropy
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摘要: 提出了一種最小Rayleigh熵恒模信號分離算法(MRE-AOCMSS)。該算法通過對代價函數(shù)作適當?shù)淖儞Q，得到新的協(xié)方差矩陣，然后構(gòu)造出協(xié)方差矩陣的Rayleigh熵，再通過最小化Rayleigh熵得到用以恢復恒模信號的最佳權(quán)矢量。該算法能夠準確地分離出期望信號并抑制掉干擾，從而有效地克服了常規(guī)恒模算法(CMA) 對同信道干擾(CCI)功率大于信號功率的情況敏感這一缺點。計算機仿真結(jié)果說明了該算法的有效性。
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關鍵詞:
- 陣列信號處理;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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