A method of single channel blind source separation of co-frequency 16QAM signals

Zhu Wengui, Zhang Yu-ren
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Abstract

With the rapid development of wireless communication, the receiver equipped one antenna receives more than one signal at the same frequency band simultaneously. For the above-mentioned reasons, the single channel blind source separation (BSS) becomes a hot topic in signal processing field. Nevertheless, the study of single channel blind source separation have great challenges since this problem is usually ill-posed one. Many scholars make hard efforts to solve this ill-posed problem. In this paper, one method is proposed to separate two co-frequency16QAM overlapped signals based maximum likelihood method (ML) since communication signals have finite set of symbols and some preamble symbols we already know. The performance of the method through computer simulations shows its reliability.
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一种共频16QAM信号的单通道盲源分离方法
随着无线通信技术的飞速发展,配备一根天线的接收机可以同时接收同一频段的多个信号。由于上述原因,单通道盲源分离(BSS)成为信号处理领域的研究热点。然而,由于单通道盲源分离问题通常是不适定问题,因此对该问题的研究具有很大的挑战性。许多学者都在努力解决这个不适定问题。本文针对通信信号具有有限的符号集和一些已知的前导符号,提出了一种基于极大似然方法分离两个共频16qam重叠信号的方法。计算机仿真结果表明了该方法的可靠性。
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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