一种高分辨雷达空间目标跟踪方法研究

doi:10.12305/j.issn.1001-506X.2024.02.13

Abstract

Abstract:

When high resolution radar is tracking space targets, the transformation of measurement coordinate will cause a special kind of strong nonlinear problems, this paper analyzes the mechanism of its occurrence. The tracking accuracy of classical nonlinear filtering technology will decline sharply. Therefore, this paper proposes an improved Kalman filter based on the intermediate transition state. This filter predicts the target state in the rectangular coordinate system and avoids the complex modeling of target motion in spherical coordinates. By selecting the position, velocity and their covariance in the measurement space as the intermediate transition state after prediction, the target state is linearly updated in the measurement coordinate system. After the update, the intermediate transition state is mapped to the rectangular coordinate system to obtain the consistency estimation of the target state. Simulation results show that the improved Kalman filter based on the intermediate transition state can effectively improve the tracking accuracy of high resolution radar for space targets.

Key words: target tracking, high resolution radar, space target, nonlinear problem

CLC Number:

TN953

Zhengwei LIU, Ying CHEN, Yaobing LU. A study on high resolution radar tracking method for space target[J]. Systems Engineering and Electronics, 2024, 46(2): 488-496.

Figures/Tables 13

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Table 1

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仿真场景	距离误差σ_r/m	方位角误差σ_A/(°)	俯仰角误差σ_E/(°)
1	1	0.05	0.025
2	0.1	0.05	0.025
3	0.1	0.5	0.025

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A study on high resolution radar tracking method for space target

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