盲波束形成和峰度最大化最大比值组合用于多径源分离

Chong-Yung Chi, Ching-Yung Chen
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引用次数: 15

摘要

Ding和Nguyen(2000)的用于盲信号分离和天线波束形成的峰度最大化算法(KMA)假设没有多径信道。本文提出了一种多级源分离(MSS)算法,该算法假设源信号是独立同分布(iid)非高斯分布(iid),并且在存在多条路径的情况下接收(正如无线通信中实际发生的那样)。该算法包括利用快速KMA (FKMA)对不同路径的源信号进行提取和盲最大比梳理(BMRC),以及对信号进行分类、估计时延和消除提取的源信号在每个阶段对接收信号的贡献。计算机仿真结果表明,该算法不需要阵列结构和到达方向的先验信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Blind beamforming and maximum ratio combining by kurtosis maximization for source separation in multipath
Ding and Nguyen's (2000) kurtosis maximization algorithm (KMA) for blind signal separation and antenna beamforming assumes the absence of multipath channels. This paper proposes a multistage source separation (MSS) algorithm assuming that source signals are independent identically distributed (iid) non-Gaussian and received in the presence of multiple paths (as practically happens in wireless communications). The proposed MSS algorithm includes extraction and blind maximum ratio combing (BMRC) of a source signal from different paths using a fast KMA (FKMA), besides signal classification, time delay estimation, and cancellation of the contribution of the extracted source signal from the received signal at each stage. The proposed MSS algorithm with no need of prior information about the array configuration and direction of arrival (DOA) is supported through computer simulation.
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