Asynchronous anti-bias track-to-track association algorithm of multi-local nodes

被引：0
|
作者：
Yi X. [1 ]
Du J. [1 ]
Zhang T. [1 ]
机构：
[1] Naval Aviation University, Yantai
来源：
Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica | 2021年 / 42卷 / 06期
关键词：
Asynchronous track; Discrete degree; Multi-dimension assignment; System bias; Track association;
D O I：
10.7527/S1000-6893.2020.24494
中图分类号：
学科分类号：
摘要：
To solve the problem of asynchronous anti-bias track association, an asynchronous anti-bias track-to-track association algorithm of multi-local nodes based on the discrete degree of interval sequence is proposed. A discrete information measurement of the interval data set is defined and the interval method for track sequence with system biases is provided. The discrete degree is calculated through repeated integral, and the association determination is performed using multi-dimension assignment. Aiming at the phenomenon of different targets reported by multi-local nodes, the zero track is established to manage the association quality. Compared with the traditional algorithm, the asynchronous track can be directly correlated without time-domain registration in the presence of system errors. The simulation results show that this algorithm can achieve effective association in the presence of different targets reported by multi-local nodes and the correct association rate increases with the increase of the local nodes number or the target density. © 2021, Beihang University Aerospace Knowledge Press. All right reserved.
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