Systems Engineering and Electronics ›› 2021, Vol. 43 ›› Issue (4): 875-882.doi: 10.12305/j.issn.1001-506X.2021.04.03

• Electronic Technology • Previous Articles     Next Articles

Maneuvering target tracking algorithm for airborne passive coherent localization system

Yu LU*(), Haibin WANG()   

  1. School of Aviation Operations and Support, Naval Aviation University, Yantai 264001, China
  • Received:2020-07-13 Online:2021-03-25 Published:2021-03-31
  • Contact: Yu LU E-mail:17664113162@163.com;hesonwhb@163.com

Abstract:

A bivariate cubature Kalman filter algorithm based on multiple model prediction is proposed to deal with the influence of the state uncertainty of airborne passive coherent localization system on the tracking accuracy of maneuvering targets. Firstly, the system model of maneuvering targets tracking is established and the multiple model set is determined. Then, based on the idea of multiple models, the model interaction step is added to the state prediction step, and the predicted state value is interactively fused to obtain the optimal state forecast value. In order to solve the problem that the fixed Markov transition probability leads to the decline of the tracking performance of the system, the time-varying transition probability embedded in the "perception memory" is adopted to reduce the competitive influence of the mismatched model. Finally, the bivariate cubature Kalman filter algorithm is used to estimate the state of both target and external transmitter. Simulation and comparison experiments verify the effectiveness of the algorithm.

Key words: passive coherent location, maneuvering target tracking, multiple model prediction, bivariate cubature Kalman filter

CLC Number: 

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