RSS-based location estimation with unknown pathloss model
RSS-based location estimation with unknown pathloss model
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DOI：
10.1109/twc.2006.256985
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发表时间：
2006-12-01
影响因子：
10.4
通讯作者：
Li, Xinrong
中科院分区：
文献类型：
--
作者：
Li, Xinrong
最近，基于接收信号强度（RSS）的位置估计技术作为一种低成本、低复杂度的解决方案被提出，用于许多新的位置感知应用。在现有的研究中，假设无线电传播路径损耗模型是先验已知的，这在许多应用场景中是一种过于简化的方法。本文详细研究了基于rss的未知位置坐标和路径损失模型参数距离-功率梯度的联合估计。提出了一种非线性最小二乘估计器，并基于CRB和各种仿真结果研究了该算法的性能。仿真结果表明，该联合估计器对于未知或变化环境下的位置估计特别有效。
Recently, received signal strength (RSS)-based location estimation technique has been proposed as a low-cost, low-complexity solution for many novel location-aware applications. In the existing studies, radio propagation pathloss model is assumed known a priori, which is an oversimplification in many application scenarios. In this paper we present a detailed study on the RSS-based, joint estimation of unknown location coordinates and distance-power gradient, a parameter of pathloss model. A nonlinear least-square estimator is presented and the performance of the algorithm is studied based on CRB and various simulation results. From simulation results it is shown that the proposed joint estimator is especially useful for location estimation in unknown or changing environments.