Title :
Research of interacting multiple model particle filter based on passive multi-sonar
Author :
Xueli Sheng ; Chunyan Sun ; Qing Ling ; Jia Lu ; Jingwei Yin ; Longxiang Guo
Author_Institution :
Sci. & Technol. on Underwater Acoust. Lab., Harbin Eng. Univ., Harbin, China
Abstract :
The passive target tracking problem of multi-sonar belongs to nonlinear problem, and the background noise is not guass noise entirely, so a kind of filtering method which suit for nonlinear and non-guassian system of is needed. In this paper, the interacting multiple model particle filter which combined by particle filter and interacting multiple model is applied in tracking maneuvering target. Combing the particle filter´s ability of disposing nonlinear and non-guass problem and the IMM´s ability of tracking target´s arbitrary maneuvering, the difficulty that traditional filter encounters in tracking maneuvering target under the circumstance of nonlinear and non-guassian can be solved. The interacting multiple model particle filter is simulated in two different model set, the results indicate that, under the case of model matching, this method has good ability in tracking the maneuvering target of nonlinear and non-guassian system.
Keywords :
nonlinear systems; particle filtering (numerical methods); sonar tracking; target tracking; IMM; maneuvering target tracking; multiple model particle filter; nonguassian system; nonlinear system; passive multisonar; passive target tracking; Equations; Filtering algorithms; Mathematical model; Noise; Particle filters; Radar tracking; Target tracking; interacting multiple model; maneuvering target; nonlinear and non-gaussian; particle filter; passive multi-sonar;
Conference_Titel :
Oceans - San Diego, 2013
Conference_Location :
San Diego, CA