Hybrid TW-TOA/TDOA Positioning Algorithms for Cooperative Wireless Networks
Hybrid TW-TOA/TDOA Positioning Algorithms for Cooperative Wireless Networks
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DOI：
10.1109/icc.2011.5962647
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发表时间：
2011-06
期刊：
影响因子：
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通讯作者：
M. R. Gholami;S. Gezici;E. Ström;Mats Rydström
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文献类型：
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作者：
M. R. Gholami;S. Gezici;E. Ström;Mats Rydström
研究了利用混合双向到达时间和到达时间差测量的协作无线传感器网络对未知目标的定位问题。最大似然估计（MLE）可以用来解决这个问题。由于MLE中成本函数的非线性性质，采用迭代搜索算法，具有良好的初始点，可以对目标进行精确估计。为了避免数值方法中的缺点，我们将测量线性化，并获得一个新的两步估计，在每一步中都有一个封闭形式的解决方案。仿真结果表明，在足够高的信噪比下，该线性估计器可以达到Cramer-Rao下界
The problem of positioning an unknown target is studied for a cooperative wireless sensor network using hybrid two-way time-of-arrival and time-difference-of-arrival measurements. A maximum likelihood estimator (MLE) can be employed to solve the problem. Due to the non-linear nature of the cost function in the MLE, a numerical method, e.g., an iterative search algorithm with a good initial point, should be taken to accurately estimate the target. To avoid drawbacks in a numerical method, we instead linearize the measurements and obtain a new two-step estimator that has a closed-form solution in each step. Simulation results confirm that the proposed linear estimator can attain Cramer-Rao lower bound for sufficiently high SNR