吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (5): 1460-1465.doi: 10.7964/jdxbgxb201405038

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Joint parameter estimation based on uniform linear array of double-base MIMO radar

KANG Xiao-tao1,CHAO Wen-lan1,WANG Hao2,SHI Yao-wu1   

  1. 1.College of Communication Engineering, Jilin University, Changchun 130022, China;
    2.Academy of Fine Arts Experimental Center of Northeast Normal University, Changchun 130117,China
  • Received:2014-04-27 Online:2014-09-01 Published:2014-09-01

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Abstract: A minimum norm algorithm is proposed to implement the joint estimation of direction of departure and direction of arrive under the background of Gaussian color noise. The minimum norm algorithm is based on the higher order cumulant aimed at the Uniform Linear Array (ULA) double-based MIMO radar. By utilizing the orthogonality between joint steering vector matrix and the noise subspace, a minimum norm vector is obtained from the all noise singular vectors. So the calculation complexity is reduced and the parameter estimation accuracy is improved. The simulation results show that the performance of the proposed minimum norm algorithm is better when SNR is low.

Key words: information processing, MIMO radar, minimum norm algorithm, angle estimation, uniform linear array

CLC Number: 

  • TN911.7
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