Optimal Sensor Placement for Target Localization Using Hybrid RSS, AOA and TOA Measurements
Optimal Sensor Placement for Target Localization Using Hybrid RSS, AOA and TOA Measurements
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使用混合 RSS、AOA 和 TOA 测量进行目标定位的最佳传感器放置
DOI：
10.1109/lcomm.2020.2996259
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发表时间：
2020-09-01
期刊：
影响因子：
--
通讯作者：
Xu, Sheng
中科院分区：
文献类型：
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作者：
Xu, Sheng
本文研究了在二维平面上利用接收信号强度（RSS）、到达角（AOA）和到达时间（TOA）混合测量进行单静态目标定位的最优传感器布置策略。首先，介绍了问题的形式化。其次，利用A-最优性准则，推导了Cramer-Rao下界（CRLB）的理论最小迹，它等价于最小估计均方误差（MSE）。此外，我们提出了CRLB的可达最小迹（tr（CRLB））将被确定，一旦传感器的数量和字符的选择。第三，提出了相应的最优传感器布局策略，并在两个观察中得出结论。最后，通过仿真实例验证了研究结果.
This letter investigates the optimal sensor placement strategy for single static target localization using the hybrid received-signal-strength (RSS), angle-of-arrival (AOA) and time-of-arrival (TOA) measurements on the 2-dimensional (2D) plane. Firstly, the problem formulation is introduced. Secondly, the theoretical smallest trace of the Cramer-Rao lower bound (CRLB), which is equivalent to the smallest estimation mean-squared-error (MSE), is derived using the A-optimality criterion. Besides, we propose that the reachable smallest trace of the CRLB (tr(CRLB)) will be determined, once the number and characters of the sensors are selected. Thirdly, the corresponding optimal sensor placement strategies are proposed and concluded in two observations. Finally, the findings are demonstrated by simulation examples.