DocumentCode
3275504
Title
Multi-sensor management: Optimal allocation of tracking resources for Pd < 1 based on the interacting multiple model modified kalman filter
Author
Jun, Tong ; Shan Gan-lin
Author_Institution
Dept. of Opt. & Electron. Eng., Coll. of Mech. Eng., Shijiazhuang, China
fYear
2011
fDate
15-17 April 2011
Firstpage
532
Lastpage
535
Abstract
This paper presents a novel sensor selection algorithm for optimal allocation of target tracking resources, based on the interacting multiple model modified kalman filter. The algorithm can be easily calculated and it is possible to include sensors with a probability of detection Pd <;1. The sensor selection measure function is the minimum trace of covariance matrix. The performance of the sensor selection algorithm is studied for single sensor and sensor collocation. And simulation shows the method is effective and feasible.
Keywords
Kalman filters; covariance matrices; probability; resource allocation; sensor fusion; target tracking; covariance matrix; detection probability; interacting multiple model modified Kalman filter; multisensor management; optimal target tracking resource allocation; sensor collocation; sensor selection algorithm; Covariance matrix; Kalman filters; Mathematical model; Optimization; Radar tracking; Target tracking; IMMMKF; measure function; multi-sensor management; sensor selection; trace;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-8036-4
Type
conf
DOI
10.1109/ICEICE.2011.5777375
Filename
5777375
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