Distance estimation using RSSI and particle filter

被引:31
|
作者
Svecko, Janja [1 ]
Malajner, Marko [2 ]
Gleich, Dusan [2 ]
机构
[1] Margento R&D, Maribor, Slovenia
[2] Univ Maribor, Fac Elect Engn & Comupter Sci, Maribor, Slovenia
关键词
Bayesian estimation; Recursive estimation; WSN; RSSI; Particle filter; Multiple antennas;
D O I
10.1016/j.isatra.2014.10.003
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:275 / 285
页数:11
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