DocumentCode :
3769516
Title :
An improved tracking algorithm of maneuvering targets based on CSHGMM
Author :
Shi Wanwan;Peng Dongliang;Gu Yu;Ren Gang
Author_Institution :
Fundemental Science on Communication Information Transmission and Fusion Technology Laboratory, Hangzhou Dianzi University, Hangzhou, 310018, China
fYear :
2015
Firstpage :
1
Lastpage :
6
Abstract :
This paper considers the decline problem of tracking accuracy caused by acceleration estimation inaccuracy in hybrid grid multiple model (HGMM) algorithm. A new improved tracking algorithm of maneuvering targets based on CSHGMM is proposed. Grid partition is performed by estimation of the acceleration mean in current statistic (CS) model, where a fading factor is adopted to improve tracking accuracy by adjusting the gain matrix under the condition of the abrupt change of acceleration. Then possible model sets of the target are generated online, and interactive multiple model algorithm is adopted to estimate the target state. The proposed algorithm performance is tested and compared in general and strong maneuvering scenarios, and simulation results demonstrate that the proposed algorithm not only improves the accuracy for maneuvering target tracking, but also can be applied to most of the tracking scenarios.
Publisher :
iet
Conference_Titel :
Radar Conference 2015, IET International
Print_ISBN :
978-1-78561-038-7
Type :
conf
DOI :
10.1049/cp.2015.1448
Filename :
7455670
Link To Document :
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