Distance estimation using RSSI and particle filter

Janja Svečko; Marko Malajner; Dušan Gleich

doi:10.1016/j.isatra.2014.10.003

Distance estimation using RSSI and particle filter

ISA Trans. 2015 Mar:55:275-85. doi: 10.1016/j.isatra.2014.10.003. Epub 2014 Nov 14.

Authors

Janja Svečko¹, Marko Malajner², Dušan Gleich²

Affiliations

¹ Margento R&D, Gosposvetska 84, Maribor, Slovenia. Electronic address: janja.svecko@margento.com.
² Faculty of Electrical Engineering and Comupter Science, University of Maribor, Slovenia.

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

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.

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