基于新最速下降法的目标跟踪算法

doi:10.12305/j.issn.1001-506X.2022.05.11

Abstract

Abstract:

The radar target tracking filtering algorithm is an important part of radar signal processing, which plays an important role in air defense early warning, battlefield surveillance, missile guidance and other fields. This paper presents a target tracking algorithm based on a new steepest descent method. Firstly, a motion model based on the improved polynomial fitting model is established, and then a new steepest descent method is used to solve the optimal parameters of the motion model. The real-time optimal motion model is used to predict and track the moving target, and the regularization idea is used to remove the influence of noise. The simulation results show that the algorithm has higher accuracy, less computation and better real-time performance in the case of maneuvering and non-maneuvering targets.

Key words: target tracking, steepest descent method, adaptive, interacting multiple model, regularization, convergence rate, tracking accuracy

CLC Number:

TN957

Shuai WANG, Jianjun XIANG, Fang PENG, Shujuan TANG. Target tracking algorithm based on a new steepest descent method[J]. Systems Engineering and Electronics, 2022, 44(5): 1512-1519.

Figures/Tables 7

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References 31

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Target tracking algorithm based on a new steepest descent method

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