面向多机异步测向系统的多目标数据关联算法

doi:10.12305/j.issn.1001-506X.2026.02.02

Abstract

Abstract:

Aiming at the problem of direction finding data association when multi-sensor cooperative photoelectric detection system performs multi-target search tasks, a data association algorithm based on asynchronous direction finding positioning model is proposed. It is first analyzed that the cost function of the traditional correlation cost model is greatly affected by the asynchronous acquisition of direction finding data. Then, the basic constraints are constructed by using the prior parameters such as sensor error to preliminarily screen the association combination, and then the asynchronous direction finding association model is constructed by the search principle of the photoelectric detection system for cost association. The simulation results show that compared with other association models, the proposed algorithm model association accuracy is maintained at 90% and above, less affected by the number of aircraft and targets, and the algorithm consumes relatively less time and has higher performance.

Key words: direction finding positioning model, multi-target, associated cost function, data association algorithm

CLC Number:

TP 391

Xiao ZHOU, Zihao SUN, Ying SU, Li WANG, Xingang MOU. Multi-target data association algorithm for multi-sensor asynchronous direction finding system[J]. Systems Engineering and Electronics, 2026, 48(2): 392-401.

Figures/Tables 14

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误差项	误差水平	误差分布
载机定位精度/m	10	高斯
航向姿态误差/（°）	0.05	高斯
俯仰角误差/（°）	0.01	高斯
光电方位角测角误差/mard	1	高斯
光电俯仰角测角误差/mard	1	高斯

定位算法模型	RMSE_p/m	RMSE_v/（m/s）
异步测向定位模型	1 102	254.3
四参数LS模型	1 217	261.3
线性近似定位模型	5 189	948.5

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Multi-target data association algorithm for multi-sensor asynchronous direction finding system

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