中文

Journal of Applied Sciences ›› 2011, Vol. 29 ›› Issue (2): 187-194.doi: 10.3969/j.issn.0255-8297.2011.02.012

• Signal and Information Processing • Previous Articles     Next Articles

Joint 2D Angle and Frequency Estimation Based on Uniform Square Array

XU Ling-yun1;2, ZHANG Xiao-fei1, XU Zong-ze1   

  1. 1. College of Information Science and Technology, Nanjing University of Aeronautics and Astronautics,
    Nanjing 210016, China
    2. College of Science, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Received:2010-11-24 Revised:2011-01-07 Online:2011-03-23 Published:2011-03-23
  • About author:许凌云，博士生，讲师，研究方向：阵列信号处理，E-mail: xlyun@nuaa.edu.cn；许宗泽，教授，博导，研究方向：通信信号处理，E-mail:xzzem@yahoo.com
  • Supported by:

    国家自然科学基金(No.60801052)；教育部博士点基金(No.20103218120022)资助

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Abstract:

A novel joint two-dimensional angle and frequency estimation method based on a uniform square array is presented. The output signal of the antenna array is analyzed, showing quadrilinear model characteristics. The source parameters can be estimated from the matrices via low-rank decomposition based on uniqueness of PARAFAC decomposition. The algorithm first uses the quadrilinear alternating least square (QALS) algorithm to estimate the direction and frequency matrices. It then estimates frequencies according to Vandermonde characteristics of frequency matrix and least square principle. DOAs are estimated from the characteristics of direction matrix and the least square principle. The method does not need to search spectral
peaks or parameter pairs. Compared with ESPRIT and the trilinear model, the proposed algorithm has high precision in parameter estimation, and works well with small sizes. Simulation results verify its effectiveness.

Key words: quadrilinear alternating least square, 2D DOA estimation, frequency estimation, uniform square array

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