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

机译:基于无线传感器网络的盲源分离混合干扰信号到达估计的时差

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摘要

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.
机译:在无源定位系统中,到达时间差(TDOA)的估计非常重要。 TDOA估计准确性可能直接影响源定位性能。对于同频干扰环境,作者针对基于无线传感器网络的不相关干扰源信号的时延进行了被动盲估计。在传感器处接收到的混合物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。有效地提取了所有传感器的混合接收信号中的干扰信号,可以显着降低混合通信信号的影响。仿真表明,与其他TDOA估计方法相比,该方法具有更准确的性能,因此在TDOA定位系统中是有效和实用的。

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