基于自适应压缩感知的复杂弹道群目标跟踪技术

doi:10.3969/j.issn.1001-506X.2020.08.10

Abstract

Abstract:

The complex ballistic group targets are spaced highly close, and they are mutual occlusive. Hence, how to distinguish and precisely track the complex ballistic target under a presented radar working band has become an urgent problem. To solve this problem, an adaptive local compressed sensing (CS) algorithm based cognition for group targets resolution is proposed according to prediction bias with resolution threshold. The algorithm first predicts the group center by two-body movement, then adaptively using local CS algorithm according the threshold to improve the resolving ability for group targets. Secondly, the track segment stitching (TSS) method is induced using track file to construct test hypothesis, then to correlate and smooth the track segments and finally to manage the batch, which can greatly reduce the batch mismatch and nonlinear estimation error. Simulation results show that the proposed algorithm greatly increases the resolving time and the resolving ability raises up to 80%.The average tracking time is double compared with the traditional algorithm, and the tracking root mean square error (RMSE) is significantly decreased during track interrupt. The group targets are consecutively tracking and keep the unique batch, which provides a new precise tracking method for ballistic group targets.

Key words: group target, compressed sensing (CS), track segment stitching (TSS)

CLC Number:

TN953

Qiang HUANG, Jianguo YU, Pengfei SHI. Complex ballistic group targets tracking based on adaptive compressed sensing[J]. Systems Engineering and Electronics, 2020, 42(8): 1710-1717.

Figures/Tables 11

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跟踪误差	传统算法	本文算法
距离RMSE/m	37.2	21.6
方位角RMSE/(°)	0.13	0.063
俯仰角RMSE/(°)	0.14	0.071

连续性指标	传统算法	本文算法
平均跟踪时长/s	174.3	367.2
平均航迹批数	6.0	12.0
相关正确率/%	90.3	99.8

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Complex ballistic group targets tracking based on adaptive compressed sensing

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