Title: AGIMM tracking filter algorithm based on manoeuvring feature correction

Authors: Xu-fang Zhu; Qin-long Huang; Jia-wei Xia

Addresses: Hubei Naval University of Engineering, Wuhan 430000, China ' Hubei Naval University of Engineering, Wuhan 430000, China ' Hubei Naval University of Engineering, Wuhan 430000, China

Abstract: Considering the fast speed and strong manoeuvring of small offshore targets, traditional filtering algorithms cannot effectively track the filtering due to the unstable grid centre of weak manoeuvring target and slow tracking convergence of strong manoeuvring target. To overcome this problem, an adaptive grid interaction multiple model (AGIMM) tracking filter algorithm based on manoeuvring feature correction was developed. The modified algorithm detects the target manoeuvring according to the residual information of the filter, while the model structure can be adjusted under different manoeuvring conditions. Monte Carlo simulation shows that the AGIMM algorithm based on manoeuvring feature correction can improve the calculation accuracy by 35% and reduce the calculation time by 18%.

Keywords: tracking filter; manoeuvring feature; turn model; adaptive grid interaction multiple model; simulation.

DOI: 10.1504/IJICT.2021.116553

International Journal of Information and Communication Technology, 2021 Vol.19 No.1, pp.31 - 43

Received: 16 Dec 2019
Accepted: 28 Feb 2020
Published online: 28 Jul 2021 *

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