Recursive blind source separation for BPSK signals

G. Leus, D. Gesbert
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引用次数: 1

Abstract

This paper addresses the important problem of separating and estimating the contributions of multiple users (sources) signals impinging on an antenna array in a wireless communication system. The proposed approach has key advantages over existing ones, which are listed below: (i) the structure of estimation is recursive, therefore it estimates the incoming bits on the fly as they reach the receive array instead of estimating a separating matrix. (ii) it exploits the finite alphabet property (here, BPSK) of the communication signals in an explicit manner, through the use of a finite-state trellis. (iii) perfect decisions are obtained in the absence of noise upon certain mild conditions on the transmitted signals (excitation conditions). Therefore (local) convergence is not an issue here.
BPSK信号的递归盲源分离
本文研究了无线通信系统中多个用户(源)信号对天线阵列的影响的分离和估计问题。与现有的方法相比,所提出的方法具有以下主要优点:(i)估计的结构是递归的,因此它在到达接收阵列时动态估计传入比特,而不是估计分离矩阵。(ii)它通过使用有限状态网格,以明确的方式利用通信信号的有限字母属性(这里是BPSK)。(iii)在传输信号的某些温和条件(激励条件)下,在没有噪声的情况下获得完美的决策。因此,(局部)收敛在这里不是问题。
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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