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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2018, Vol. 39 ›› Issue (9): 322031-322038.doi: 10.7527/S1000-6893.2018.22031

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

Direct position determination algorithm based on modified cubature Kalman filter

LU Zhiyu, WANG Jianhui, BA Bin, WANG Daming   

  1. Information System Engineering Institute, PLA Information Engineering University, Zhengzhou 450000, China
  • Received:2018-01-22 Revised:2018-02-11 Online:2018-09-15 Published:2018-06-25
  • Supported by:
    National Natural Science Foundation of China (61401513); The Self-Topic Foundation of Information Engineering University (h2116)

Abstract: The Direct Position Determination (DPD) algorithm can offer higher estimation accuracy, but is accompanied by serious computation load. To solve this problem, this paper proposes a novel DPD algorithm based on Modified Cubature Kalman Filter (MCKF). First, a direct positioning filtering model based on the direction of arrival information of the received signals is developed with the subspace data fusion method. Then, an MCKF is proposed to solve the problem of noise accumulation caused by indirect observation. Finally, the computational complexity of the algorithm is analyzed to illustrate its efficiency. Simulation results show that compared with the DPD algorithms based on maximum likelihood exhaustive search and genetic algorithm, the proposed algorithm can significantly reduce computation load and improve timeliness while maintaining the same estimation accuracy, showing great applicability in practice.

Key words: direct position determination, cubature Kalman filter, array signal processing, passive location

CLC Number: