On blind beamforming for multiple non-Gaussian signals and the constant-modulus algorithm
On blind beamforming for multiple non-Gaussian signals and the constant-modulus algorithm
复制标题
DOI：
10.1109/78.700958
复制
发表时间：
1998-07
期刊：
影响因子：
--
通讯作者：
J. Sheinvald
中科院分区：
文献类型：
--
作者：
J. Sheinvald
提出了一种传感器阵列接收到的多个共信道非高斯信号的盲分离方法。该方法基于基于累积量的最小二乘准则，对于同分布的负峰度信号，该准则被证明与CM算法常用的“2-2”常模（CM）代价函数相同。提出了一种计算简单的最小化准则算法。该算法即使在样本数量较少的情况下也表现良好，因此可以应用于动态环境（例如移动的发射器）。对于只有两个信号的特殊情况，用解析方法得到了最小值。最后给出了仿真结果。
A new method for blindly separating multiple cochannel non-Gaussian signals received by a sensor array is presented. The method is based on a cumulant-based least-squares criterion that, for identically distributed negative-kurtosis signals, is proven to be identical to the "2-2" constant-modulus (CM) cost function commonly used by CM algorithms. A computationally simple algorithm is proposed to minimize the criterion. The algorithm performs well even when the number of samples is small, thus allowing its application in dynamic environments (e.g., moving emitters). For the special case of two signals only, the minimization is obtained analytically. Simulation results are included.