Direction-of-arrival estimation for uniform circular arrays under small sample size
School of Electronics and Information Engineering, Harbin Institute of Technology, Guojun Jiang, Collaborative Innovation Center of Information Sensing and Understanding, Harbin Institute of Technology, Xingpeng Mao, School of Electronics and Information Engineering, Harbin Institute of Technology, Collaborative Innovation Center of Information Sensing and Understanding, Harbin Institute of Technology, Yongtan Liu, School of Electronics and Information Engineering, Harbin Institute of Technology, Collaborative Innovation Center of Information Sensing and Understanding, Harbin Institute of Technology · Journal of Systems Engineering and Electronics · 2016
With a small number of snapshots, performances of uniform circular array(UCA) root-MUSIC based methods for direction-of-arrival (DOA) estimation suffer serious degradation, because the beamspace sample covariance matrix (BSCM) severely deviates from the true one. To solve this problem, an iterative technique is proposed. The proposed technique has two key points: transform array data into beamspace data and construct a BSCM; modify the BSCM repeatedly by removing the residual parts. Meanwhile, error and beamspace leakage associated with the BSCM are investigated. The proposed technique can significantly reduce the error and the beamspace leakage which in turn could improve the performance for DOA estimation. Simulation results are given to illustrate the superiority of the proposed technique for uncorrelated and correlated signals.