Comment on "Energy Aware Iterative Source Localization for Wireless Sensor Networks"

被引：0
|
作者：
Yang, Xiaojun [1 ]
机构：
[1] Changan Univ, Sch Informat Engn, Xian 710064, Peoples R China
来源：
IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2014年 / 62卷 / 09期
基金：
中国博士后科学基金;
关键词：
Iterative source localization; Monte Carlo method; particle filtering; kernel smoothing;
D O I：
10.1109/TSP.2014.2309092
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A recent paper [E. Masazade, R. Niu, P. K. Varshney, and M. Keskinoz, "Energy Aware Iterative Source Localization for Wireless Sensor Networks", IEEE Transactions on Signal Processing, vol. 58, no. 9, pp. 4824-4835, 2010] presents an iterative source localization scheme based on the selection of sensors. An importance sampling based Monte Carlo method was employed at each iteration using the entire received data to approximate the posterior distribution of the source location in the paper. In this note, we propose an alternative sequential importance sampling and resampling algorithm to implement the iterative source localization. The proposed method provides significant performance improvement over the current method via combination of auxiliary particle filtering with kernel smoothing approximation. The superiority of the alternative algorithm is verified by Monte Carlo simulation results.
引用
收藏
页码：2236 / 2237
页数：2
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