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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2021, Vol. 42 ›› Issue (6): 324494-324494.doi: 10.7527/S1000-6893.2020.24494

• Electronics and Electrical Engineering and Control • Previous Articles     Next Articles

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

YI Xiao, DU Jinpeng, ZHANG Tianshu   

  1. Naval Aviation University, Yantai 264001, China
  • Received:2020-07-06 Revised:2020-07-29 Online:2021-06-15 Published:1900-01-01
  • Supported by:
    Excellent Youth Scholar of the National Defense Science and Technology Foundation of China (2017-JCJQ-ZQ-003);The Special Fund for the Taishan Scholar Project (ts201712072)

Abstract: 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.

Key words: track association, asynchronous track, system bias, multi-dimension assignment, discrete degree

CLC Number: