4.7 Article

Distance estimation using RSSI and particle filter

期刊

ISA TRANSACTIONS
卷 55, 期 -, 页码 275-285

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.isatra.2014.10.003

关键词

Bayesian estimation; Recursive estimation; WSN; RSSI; Particle filter; Multiple antennas

向作者/读者索取更多资源

This paper presents a particle filter algorithm for distance estimation using multiple antennas on the receiver's side and only one transmitter, where a received signal strength indicator (RSSI) of radio frequency was used. Two different placements of antennas were considered (parallel and circular). The physical layer of IEEE standard 802.15.4 was used for communication between transmitter and receiver. The distance was estimated as the hidden state of a stochastic system and therefore a particle filter was implemented. The RSSI acquisitions were used for the computation of important weights within the particle filter algorithm. The weighted particles were re-sampled in order to ensure proper distribution and density. Log-normal and ground reflection propagation models were used for the modeling of a prior distribution within a Bayesian inference. Crown Copyright (C) 2014 Published by Elsevier Ltd. on behalf of ISA. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据