Component Design and Simulation of Netted Radar Fusion Processing

doi:10.16182/j.issn1004731x.joss.20-0742

Abstract

Abstract:

Data fusion processing technology is the core of netted radars. Taking the air-defense radar network as the reference, this paper builds a component-based and reconfigurable data fusion algorithm library. With the component design method, the process of data fusion is divided into different components, such as data validity check, error match, time-space match, plot association, plot fusion, track initiation, track filtering, track association, track fusion, and track management. Each component involves different algorithms with a unified external interface, and algorithms can be chosen by parameter setting to meet different fusion requirements. Then, the complete processing template forplot fusion and track fusion is designed by the assembly of components, which facilitates the application in different scenarios. The simulation results validate the feasibility and adaptability of the proposed component design method.

Key words: netted radars, plot fusion, track fusion, component design, simulation

CLC Number:

TP391.9

Jing Wu, Zhiming Xu, Xiaofeng Ai, Feng Zhao, Shunping Xiao. Component Design and Simulation of Netted Radar Fusion Processing[J]. Journal of System Simulation, 2022, 34(2): 409-418.

Figures/Tables 19

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目标	误差			融合结果
目标	雷达1	雷达2	雷达3	融合结果
目标1	407.062	609.709	499.437	155.874
目标2	358.502	590.826	558.224	165.320
目标3	361.285	436.733	680.671	150.941

目标	误差			融合结果
目标	雷达1	雷达2	雷达3	融合结果
目标1	166.666	184.798	244.828	126.912
目标2	142.052	178.603	261.395	122.734
目标3	149.256	124.416	306.335	118.496

场景	采用算法	关联正确率/%	关联时间/ms
场景1	最近领域法	100	625
场景1	多维数据概率互联法	100	1 030
场景2	最近领域法	62	630
场景2	多维数据概率互联法	90	1 046

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