Tracking initiation and termination of multiple maneuvering targets in a dense multi-return environment

Author

Zhongliang, Jing ; Hongren, Zhou ; Peide, Wang

Author_Institution

Dept. of Autom. Control, Northwestern Polytech. Univ., Xi´´an Shaanxi, China

fYear

1990

fDate

5-7 Dec 1990

Firstpage

2270

Abstract

The authors present an all-neighbors Bayes tracking initiation and termination algorithm which is recursive and based on the modified joint probabilistic data association filter with residual filter the modified Bayes track confirmation and tracking termination. Monte Carlo simulation results show that the algorithm has excellent capacities for initiating and terminating the tracking of multiple maneuvering targets in a dense multi-return environment

Keywords

Bayes methods; Monte Carlo methods; radar theory; tracking; Monte Carlo simulation; all-neighbors Bayes tracking initiation and termination algorithm; dense multi-return environment; modified joint probabilistic data association filter with residual filter; multiple maneuvering targets; Covariance matrix; Equations; Filters; Kernel; Monte Carlo methods; Probability; Radio frequency; Target tracking; Tracking loops;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1990., Proceedings of the 29th IEEE Conference on

Conference_Location

Honolulu, HI

Type

conf

DOI

10.1109/CDC.1990.204028

Filename

204028

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3085629