Two-Dimensional DOA Estimation Using a Co-Prime Symmetric Cross Array

نویسندگان

  • Sheng Liu
  • Li Sheng Yang
  • Cheng Wu
  • Jian Hua Huang
چکیده

In this paper, a co-prime symmetric sparse cross array is employed to estimate twodimensional (2-D) direction-of-arrival (DOA). Some special forth-order-cumulants (FOCs) of array received data are used to construct a high-order matrix that is equivalent to a cross-covariance matrix based on two uniform linear arrays. After some modifications, an existing 2-D DOA estimation algorithm becomes more effective, and it shows further improved performance when the co-prime symmetric cross array is utilized. Numerical simulations demonstrate the effectiveness of our methods.

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تاریخ انتشار 2014