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      Joint 2-D DOA and Noncircularity Phase Estimation Method

      1 , 1 , 1 , 1

      Journal of Radars

      Chinese Academy of Sciences

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          Abstract

          Classical joint estimation methods need large calculation quantity and multidimensional search. In order to avoid these shortcoming, a novel joint two-Dimension (2-D) Direction Of Arrival (DOA) and noncircularity phase estimation method based on three orthogonal linear arrays is proposed. The problem of 3-D parameter estimation can be transformed to three parallel 2-D parameter estimation according to the characteristic of three orthogonal linear arrays. Further more, the problem of 2-D parameter estimation can be transformed to 1-D parameter estimation by using the rotational invariance property among signal subspace and orthogonal property of noise subspace at the same time in every subarray. Ultimately, the algorithm can realize joint estimation and pairing parameters by one eigen-decomposition of extended covariance matrix. The proposed algorithm can be applicable for low SNR and small snapshot scenarios, and can estiame 2(M −1) signals. Simulation results verify that the proposed algorithm is effective.

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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 March 2012
          : 1
          : 1
          : 43-49
          Affiliations
          [1 ] Naval Aeronautics and Astronautics University
          Article
          7c3b5ab5756c44f1b6b686fcc4950f60

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Categories
          Technology (General)
          T1-995

          Remote sensing, Electrical engineering

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