吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (04): 1104-1109.doi: 10.7964/jdxbgxb201304041

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Joint direction-of-arrival and Doppler frequency estimation based on artificial bee colony algorithm

ZHANG Zhi-cheng1,2, LIN Jun2, SHI Yao-wu1, SUN Xiao-dong1   

  1. 1. College of Communication Engineering, Jilin University, Changchun 130022, China;
    2. College of Instrumentation and Electrical Engineering, Jilin University, Changchun 130061, China
  • Received:2012-11-30 Online:2013-07-01 Published:2013-07-01

Abstract:

To achieve the joint estimation of Direction-of-Arrival (DOA) and Doppler frequency in array signal processing, the artificial bee colony theory and algorithm are applied to optimize the likelihood function. First, the extended observability matrix containing the angle-frequency parameters is established using state-space model. Then, the likelihood function containing the extended observability matrix is used to convert the problem from parameter estimation to nonlinear multidimensional function optimization. Finally, artificial bee colony algorithm is applied to optimize the process of finding the solutions of the maximum likelihood estimator in order to estimate the DOA and Doppler frequency. The proposed method reserves the asymptotic unbiased estimation of the maximum likelihood estimator and reduces the computational burden to calculate the solution of the likelihood function. Besides, the estimated parameters can be paired automatically.

Key words: information processing, direction-of-arrival(DOA), Doppler frequency, maximum likelihood method, artificial bee colony algorithm

CLC Number: 

  • TN911.23

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