Systems Engineering and Electronics ›› 2020, Vol. 42 ›› Issue (2): 277-283.doi: 10.3969/j.issn.1001-506X.2020.02.04

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Differential evolution strategy for autonomous concealment analysis of target motion elements

Yuhao SHAN(), Xiaodong YANG(), Wang WANG()   

  1. Naval Submarine Academy, Qingdao 266000, China
  • Received:2019-01-18 Online:2020-02-01 Published:2020-01-23
  • Supported by:
    装备军内科研项目资助课题

Abstract:

Aiming at the problem of poor noise adaptability in the independent concealment analysis of the traditional target motion elements, a differential evolution strategy of factor autonomous analysis is proposed. Firstly, the autonomous concealment analysis process of the target motion elements is briefly discussed. Secondly, the covariance propagation process of the autonomous analysis of the elements is derived, the corresponding relationship between the target motion element variance and the target observation azimuth variance is given, and the influence of azimuth observation mean square error is analyzed. Then a differential evolution algorithm on the autonomous analytical model is proposed again. Finally, the optimization strategy is verified by simulation. The results show that when the azimuth error of 0.1° exists in the azimuth, the mean square error of the initial distance D0 is about 12 Cab, and the mean square errors of the velocity components Vmx and Vmy are about 5 Kn and 6 Kn respectively. The accuracy of the elements autonomous analysis is obviously improved by the optimization of the differential evolution strategy.

Key words: element solution, least squares estimation, covariance propagation, azimuth error, differential evolution

CLC Number: 

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