基于贝叶斯测距和迭代最小二乘 RSS 的定位算法
RSS-Based Localization via Bayesian Ranging and Iterative Least Squares Positioning
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摘要: 针对基于接收信号强度（received signal strength ，RSS）测距定位框架，提出基于贝叶斯测距和迭代最小二乘定位的RSS的定位算法。在测距阶段，先利用贝叶斯概率模型处理测距过程，并采用最小均方误差（minimum mean square error ，MMSE）估计距离；在定位阶段，利用迭代最小二乘（iterative least square ，ILS）估计节点的位置，最后重点对其定位性能做了理论分析和对比实验。仿真结果表明，提出的MMSE＋ ILS定位的方案极大地提高了定位精度，并降低了计算复杂度，但运行时间略有提高。Abstract: In the framework of range‐based localization from RSS (received signal strength) measurements , the Bayesian Ranging and Iterative Least Squares (ILS ) positioning is proposed in this paper .In ranging phase ,ranging is considered as a Bayesian estimation problem ,and the distance is estimated by MMSE (minimum mean square error ) .In positioning phase ,,ILS is used to update the estimated of unknow n po‐sition .Numerical results show that the proposed algorithm improves considerably the accuracy of localiza‐tion ,and reduces computational complexity ,but increases computation time .
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