A new hybrid TOA/RSS location tracking algorithm for wireless sensor network

Author

Song, Yueming ; Yu, HongYi

Author_Institution

Zhengzhou Inf. Sci. & Technol. Inst., Zhengzhou

fYear

2008

Firstpage

2645

Lastpage

2648

Abstract

This paper presents a new TOA/RSS hybrid location tracking algorithm for a partial synchronized wireless sensor network, which use: (1) both TOA and RSS measurements to give better tracking accuracy, and (2) particle filter to deal with the nonlinear system model, which can approximate the optimal Bayesian estimate. Numerical simulations show that the new algorithm has better performance and robustness with relatively low-cost network.

Keywords

Bayes methods; particle filtering (numerical methods); time-of-arrival estimation; wireless sensor networks; TOA-RSS location tracking algorithm; nonlinear system model; optimal Bayesian estimate; particle filter; received signal strength; time-difference-of-arrival; wireless sensor network; Bayesian methods; Information filtering; Information science; Particle filters; Particle tracking; Sensor phenomena and characterization; Synchronization; Target tracking; Tin; Wireless sensor networks; Location tracking; Particle filter; TOA/RSS; WSN;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 2008. ICSP 2008. 9th International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-2178-7

Electronic_ISBN

978-1-4244-2179-4

Type

conf

DOI

10.1109/ICOSP.2008.4697692

Filename

4697692

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1664487