Title :
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
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;
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
DOI :
10.1109/ICOSP.2008.4697692
