TDOA-Based Joint Synchronization and Localization Algorithm for Asynchronous Wireless Sensor Networks
TDOA-Based Joint Synchronization and Localization Algorithm for Asynchronous Wireless Sensor Networks
复制标题
基于TDOA的异步无线传感器网络联合同步定位算法
DOI：
10.1109/tcomm.2020.2973961
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发表时间：
2020-05-01
影响因子：
8.3
通讯作者：
Zheng, Linhua
中科院分区：
文献类型：
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作者：
Wang, Tan;Xiong, Hui;Zheng, Linhua
针对锚节点位置相对固定但未知的异步无线传感器网络（WSNs），提出了一种基于到达时间差（TDOA）的联合同步定位算法。为了获得时间同步和锚位置，每个锚周期性地广播信号，而其他锚接收广播信号并标记到达时间（TOA）。基于这些TOA，我们估计的内部时钟参数和锚的位置在三个步骤：最小二乘估计（LSE）的相对时钟偏差的基础上TDOA，最大似然定位（MLE）的锚使用偏置飞行时间（TOF），和LSE估计的相对时钟偏移。当标签（需要定位的无线传感器节点）发送信号时，锚对标记TDOA。由于异步本地时钟，被偏置的TDOA，通过相对时钟偏移估计来补偿。基于高斯噪声模型，采用最大似然估计进行标签定位。我们使用Cramer-Rao下界（CRLB）评估所提出的同步和定位算法的性能。仿真结果验证了该算法的有效性。
This paper presents a joint synchronization and localization algorithm based on the time-difference-of-arrival (TDOA) for asynchronous Wireless Sensor Networks (WSNs), where the positions of anchors are relatively fixed but unknown. To obtain time synchronization and anchor positions, each anchor broadcasts signals periodically, while other anchors receive the broadcasting signals and stamp times-of-arrival (TOAs). Based on these TOAs, we estimate the internal clock parameters and anchor positions in three steps: least square estimation (LSE) of the relative clock skew based on TDOAs, maximum likelihood localization (MLE) of anchors using biased time of flight (TOF), and LSE estimation of relative clock offsets. Anchor pairs stamp the TDOAs when a tag (a wireless sensor node that requires localization) transmits a signal. The biased TDOAs, due to asynchronous local clocks, are compensated by relative clock offset estimation. The maximum likelihood estimation is used for the tag localization based on the Gaussian noise model. We evaluate the performance of the proposed synchronization and localization algorithm using the Cramer-Rao lower bound (CRLB). Simulations are carried out to verify the validity of the algorithm in this paper.