吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (2): 632-638.doi: 10.13229/j.cnki.jdxbgxb201602044

• Orginal Article • Previous Articles     Next Articles

DOA tracking algorithm of moving target with variable forgetting factor

SHAN Ze-biao1, 2, SHI Yao-wu1, 2, LIU Xiao-song1, LI Xin-bo1   

  1. 1.College of Communication Engineering, Jilin University, Changchun 130022, China;
    2.Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China
  • Received:2014-12-30 Online:2016-02-20 Published:2016-02-20

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Abstract: To track the Direction of Arrival (DOA) of the moving targets quickly and accurately, an adaptive subspace updating algorithm with a variable forgetting factor is proposed. First, this tracking algorithm adaptively adjusts the weights of current and historical data in a covariance matrix according to the DOA change speed. Then the maximum likelihood estimation algorithm is used and the Sequence Quadratic Program (SQP) is applied to optimize the likelihood function in order to reduce the computation cost of the algorithm. Experimental results show that the proposed DOA tracking algorithm has the ability to track coherent sources and obtain acceptable tracking results even under the condition of low SNR and small snapshot number in comparison with other methods.

Key words: information processing, DOA tracking, variable forgetting factor, sequence quadratic program(SQP), maximun likelihood estimation

CLC Number: 

  • TN911
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