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

来源：

ISA TRANSACTIONS | 2015年 / 55卷

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

页码：275 / 285

页数：11

共 32 条

[11] Hol J. D., 2006, NONL STAT SIGN PROC
[12] Unscented filtering and nonlinear estimation
Julier, SJ
Uhlmann, JK
[J]. PROCEEDINGS OF THE IEEE, 2004, 92 (03) : 401 - 422
[13] A consistent, debiased method for converting between polar and Cartesian coordinate systems
Julier, SJ
Uhlmann, JK
[J]. ACQUISITION, TRACKING, AND POINTING XI, 1997, 3086 : 110 - 121
[14] Kalman R.E., 1960, NEW APPROACH LINEAR, DOI [DOI 10.1115/1.3662552, 10.1115/1.3662552]
[15] Kleisouris Konstantinos, 2008, 2008 5th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, P55, DOI 10.1109/SAHCN.2008.17
[16] Kotwal S.B., 2012, INT J COMPUT APPL, V50, P11
[17] Kumar Praveen, 2009, 2009 5 INT C WIR COM, P1, DOI [10.1109/WCSN.2009.5434802, DOI 10.1109/WCSN.2009.5434802]
[18] Kvaksrud TI, 2011, RANGE MEASUREMENTS O
[19] Lee DJ, 2005, THESIS TEXAS A M U T
[20] Sensor grid resource management: Model and implementation issues
Li Chunlin
Li LaYuan
[J]. ISA TRANSACTIONS, 2014, 53 (04) : 1261 - 1267

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