RLS-based blind adaptive beamforming algorithm for antenna array in CDMA systems

Jian Yang, H. Xi, Feng Yang
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引用次数: 6

Abstract

In this paper, the maximum signal-to-(interference plus noise) ratio (MSINR) beamforming problem in antenna array CDMA systems is considered. We reinterpret a modified MSINR criterion as an unconstrained scalar cost function. By applying recursive least-squares (RLS) to minimize the cost function, we derive a novel blind adaptive beamforming algorithm to estimate the beamforming vector which optimally combines the desired signal contributions from different antenna elements while suppressing noise and interference. A rigorous analysis of the convergence properties of the algorithm by using the stochastic approximation theory is given. Simulation results are presented to show the performance of the proposed algorithm.
基于rls的CDMA系统天线阵盲自适应波束形成算法
本文研究了天线阵列CDMA系统中的最大信噪比波束形成问题。我们将修改后的MSINR准则重新解释为无约束标量代价函数。利用递推最小二乘(RLS)最小化代价函数,提出了一种新的盲自适应波束形成算法来估计波束形成矢量,该算法在抑制噪声和干扰的同时,最优地结合了不同天线单元的期望信号贡献。利用随机逼近理论对该算法的收敛性进行了严密的分析。仿真结果表明了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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