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TDOA localization algorithm with compensation of clock offset for wireless sensor networks

机译:具有无线传感器网络时钟偏移补偿的TDOA定位算法

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摘要

This paper presents a source localization algorithm based on the source signal's time-difference-of-arrival (TDOA) for asynchronous wireless sensor network. To obtain synchronization among anchors, all anchors broadcast signals periodically, the clock offsets and skews of anchor pairs can be estimated using broadcasting signal's time-of-arrivals (TOA) at anchors. A kalman filter is adopted to improve the accuracy of clock offsets and track the clock drifts due to random fluctuations. Once the source transmits signal, the TOAs at anchors are stamped respectively and source's TDOA error due to clock offset and skew of anchor pair can be mitigated by a compensation operation. Based on a Gaussian noise model, maximum likelihood estimation (MLE) for the source position is obtained. Performance issues are addressed by evaluating the Cram??r-Rao lower bound and the selection of broadcasting period. The proposed algorithm is simple and effective, which has close performance with synchronous TDOA algorithm.
机译:本文提出了一种基于源信号到达时间差(TDOA)的异步无线传感器网络源定位算法。为了获得锚点之间的同步,所有锚点都会定期广播信号,可以使用锚点的广播信号到达时间(TOA)来估算锚点对的时钟偏移和偏斜。采用卡尔曼滤波器来提高时钟偏移的精度并跟踪由于随机波动而引起的时钟漂移。一旦源发送信号,就分别对锚上的TOA进行标记,并且可以通过补偿操作来减轻由于时钟偏移和锚对对的偏斜引起的源TDOA错误。基于高斯噪声模型,获得源位置的最大似然估计(MLE)。通过评估Cram ?? r-Rao下界和选择广播周期来解决性能问题。该算法简单有效,与同步TDOA算法具有接近的性能。

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