Time differences of arrival estimation of mixed interference signals using blind source separation based on wireless sensor networks

Pengwu Wan, B. Hao, Zan Li, Licun Zhou, Mian Zhang
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引用次数: 17

Abstract

The estimation of the time differences of arrival (TDOAs) is significant in passive source localisation systems. The TDOA estimation accuracy may directly affect the source location performance. For co-frequency interference environments, the authors address the problem of the passive blind estimation of time-delays for uncorrelated interference source signals based on wireless sensor networks. The received mixtures at the sensors are modelled as unknown linear combinations of the differently delayed versions of the communication signal and the interference signal. Blind source separation and secondary interference signal extracting are both introduced in the proposed method. The interference signals in the mixed receiving signals of all the sensors are extracted effectively and the effect of the mixed communication signals can be significantly reduced. Simulations show that the proposed method has a more accurate performance compared to other TDOA estimation methods, and is therefore valid and practical in the TDOA localisation systems.
基于无线传感器网络的盲源分离混合干扰信号到达时间差估计
在无源定位系统中,到达时间差(TDOAs)的估计是一个重要的问题。TDOA估计的精度直接影响到源定位的性能。在共频干扰环境下,研究了基于无线传感器网络的非相关干扰源信号的无源盲时延估计问题。传感器接收到的混合信号被建模为通信信号和干扰信号的不同延迟版本的未知线性组合。该方法引入了盲源分离和二次干扰信号提取。有效地提取了各传感器混合接收信号中的干扰信号,显著降低了混合通信信号的影响。仿真结果表明,该方法比其他TDOA估计方法具有更高的精度,在TDOA定位系统中是有效和实用的。
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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