Title :
Choice mechanism of proposal distribution in particle filter
Author :
Yu, Jinxia ; Tang, Yongli ; Chen, Xiancha ; Liu, Wenjing
Author_Institution :
Coll. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo, China
Abstract :
Aimed at the inherent deficiency in particle filter, it is important for the choice mechanism of proposal distribution in particle filter. Combined with the up-to-date research and application, key choice mechanisms in current study of proposal distribution are respectively summarized from the aspect of direct choice mechanism, choice mechanism with other filter method, and adaptive choice mechanism. At the same time, the simulations based on single object tracking are implemented to estimate the performance of the different proposal distribution in particle filter. So, the accuracy of the above analyses is verified.
Keywords :
Monte Carlo methods; estimation theory; particle filtering (numerical methods); adaptive choice mechanism; direct choice mechanism; object tracking; particle filter; proposal distribution; Current measurement; Equations; Mathematical model; Noise; Particle filters; Probability density function; Proposals; Adaptive Choice Mechanism; Choice Mechanism of Proposal Distribution; Choice Mechanism with Other Filter; Direct Choice Mechanism; Particle Filter;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
DOI :
10.1109/WCICA.2010.5554874
