A robust adaptive beamforming algorithm based on LSCMA

Zeeshan Ahmad, Song Yaoliang, Qiang Du
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Abstract

A robust adaptive beamforming algorithm based on least square constant modulus algorithm (LSCMA) is proposed in this paper. The CMA adaptive array was designed to lock onto the desired signal having the constant modulus property. The proposed algorithm employs both the DOA information as well as the constant modulus property of the signals. This enables the beamformer to avoid self-cancellation caused by the desired signal having large power (high SNR) relative to the interference signal, while maintaining the good performance at low SNR. Simulation results demonstrate the superiority of the proposed algorithm especially for the case of desired signals having large dynamic range.
基于LSCMA的鲁棒自适应波束形成算法
提出了一种基于最小二乘恒模算法(LSCMA)的鲁棒自适应波束形成算法。设计了具有恒模特性的CMA自适应阵列锁定所需信号。该算法既利用了信号的DOA信息,又利用了信号的常模特性。这使得波束形成器可以避免由于期望信号相对于干扰信号具有较大的功率(高信噪比)而引起的自抵消,同时在低信噪比下保持良好的性能。仿真结果表明了该算法的优越性,特别是在期望信号动态范围较大的情况下。
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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