The Open Automation and Control Systems Journal

2015, 7 : 521-524
Published online 2015 June 26. DOI: 10.2174/1874444301507010521
Publisher ID: TOAUTOCJ-7-521

A New Particle Filter Target Tracking Algorithm Based on Genetic Algorithm

Wan-li Zhang and Xiao-ying Yang
College of Information Engineering, Suzhou University, Suzhou, 234000, P.R. China.

ABSTRACT

Aimed to problem that particles exist degradation in particle filter (PF) algorithm for target tracking which is used in Wireless Sensor Networks, a new particle filter target tracking algorithm (GPF) based on genetic algorithm was proposed in this paper. First, based on the description of the PF algorithm, the factors that affect the degradation were analyzed, which were importance function and re-sampling technique. Then, a new importance function which can make the current measured value take effect was constructed and the re-sampling technique was mended by using genetic algorithms in the GPF. Finally, the simulation tracking results showed that the GPF algorithm has better tracking accuracy than that of PF.

Keywords:

Genetic algorithm, particle filter, target tracking, wireless sensor networks.