title: Distance estimation using RSSI and particle filter.
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.
authors.affiliation: Margento R&D, Gosposvetska 84, Maribor, Slovenia. Electronic address: janja.svecko@margento.com.
authors.forename: Janja
authors.initials: J
authors.lastname: Svečko
authors.affiliation: Faculty of Electrical Engineering and Comupter Science, University of Maribor, Slovenia.
authors.forename: Marko
authors.initials: M
authors.lastname: Malajner
authors.affiliation: Faculty of Electrical Engineering and Comupter Science, University of Maribor, Slovenia.
authors.forename: Dušan
authors.initials: D
authors.lastname: Gleich
keywords: Bayesian estimation; Multiple antennas; Particle filter; RSSI; Recursive estimation; WSN