Literature DB >> 25457044

Distance estimation using RSSI and particle filter.

Janja Svečko1, Marko Malajner2, Dušan Gleich2.   

Abstract

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 © 2014. Published by Elsevier Ltd. All rights reserved.

Entities:  

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

Year:  2014        PMID: 25457044     DOI: 10.1016/j.isatra.2014.10.003

Source DB:  PubMed          Journal:  ISA Trans        ISSN: 0019-0578            Impact factor:   5.468


  2 in total

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Journal:  Med Biol Eng Comput       Date:  2022-01-06       Impact factor: 2.602

2.  Design and test of intelligent inspection and monitoring system for cotton bale storage based on RFID.

Authors:  Weipeng Zhang; Bo Zhao; Qizhi Yang; Liming Zhou; Hanlu Jiang; Kang Niu; Jian Ding
Journal:  Sci Rep       Date:  2022-03-16       Impact factor: 4.379

  2 in total

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