DocumentCode
641657
Title
Research on implementation of elementary symmetric function in GM-CPHD filter
Author
Shicang Zhang ; Jianxun Li ; Liangbin Wu
Author_Institution
Shanghai Jiao Tong Univ., Shanghai, China
fYear
2013
fDate
14-16 April 2013
Firstpage
1
Lastpage
4
Abstract
This paper provides two methods about implementation of elementary symmetric function (ESF) in Gaussian mixture cardinalized probability hypothesis density (GM-CPHD) filter. One is based on the matrix inversion; the other is implementing the ESF recursively. Simulation results reveal that the recursive implementation of ESF weights over the matrix inversion based method.
Keywords
Gaussian processes; matrix inversion; probability; radar tracking; ESF; GM-CPHD filter; Gaussian mixture; cardinalized probability hypothesis density; elementary symmetric function; matrix inversion; Gaussian mixture cardinalized probability hypothesis density filter; elementary symmetric function; target tracking;
fLanguage
English
Publisher
iet
Conference_Titel
Radar Conference 2013, IET International
Conference_Location
Xi´an
Electronic_ISBN
978-1-84919-603-1
Type
conf
DOI
10.1049/cp.2013.0244
Filename
6624408
Link To Document