An improved tracking algorithm of maneuvering targets based on CSHGMM
An improved tracking algorithm of maneuvering targets based on CSHGMM
- Author(s): Shi Wanwan ; Peng Dongliang ; Gu Yu ; Ren Gang
- DOI: 10.1049/cp.2015.1448
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- Author(s): Shi Wanwan ; Peng Dongliang ; Gu Yu ; Ren Gang Source: IET International Radar Conference 2015, 2015 page ()
- Conference: IET International Radar Conference 2015
- DOI: 10.1049/cp.2015.1448
- ISBN: 978-1-78561-038-7
- Location: Hangzhou, China
- Conference date: 14-16 Oct. 2015
- Format: PDF
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.
Inspec keywords: statistical analysis; target tracking; acceleration; military communication; fading
Subjects: Radiowave propagation; Radio communications (military and defence); Signal processing and detection; Other topics in statistics; Radio links and equipment
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