Time delay estimation of co-frequency signals in TDOA localization based on WSN

Pengwu Wan, Zan Li, B. Hao
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引用次数: 12

Abstract

The time delay estimation of the TDOA is signification in passive source localization systems, and the estimation accuracy may directly affect the source location performance. We address the problem of passive blind estimation of time-delay for uncorrelated co-frequency interference source signal based on wireless sensor network (WSN). The received mixtures are modeled as unknown linear combinations of differently delayed versions of communication signal and interference signal. Two methods of Blind Source Separation (BSS) and Secondary Interference Signal Extracting (SISE) are introduced in the proposed method. The interference signals in the mixed receiving signals of all sensors are extracted effectively and the affection of the mixed communication signals can be significantly reduced. Simulations results demonstrate that the proposed method has a more accurate performance compared to some other time delay estimation methods.
基于WSN的TDOA定位中共频信号的时延估计
TDOA的时延估计在无源源定位系统中具有重要意义,其估计精度直接影响到系统的定位性能。研究了基于无线传感器网络的非相关共频干扰源信号的无源盲时延估计问题。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。该方法引入盲源分离(BSS)和二次干扰信号提取(SISE)两种方法。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,该方法比其他时延估计方法具有更高的精度。
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