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A High-Resolution Method for 2D DOA Estimation |
Yang Xue-ya; Chen Bai-xiao |
National Key Lab for Radar Signal Processing, Xidian Univ., Xi’an 710071, China |
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Abstract A high-resolution algorithm for 2D DOA estimation is proposed to reduce the computational complexity of traditional high-resolution methods. The objective function of the optimization issue based on norm constraint is developed firstly. Then the sparse solution corresponding to the received data along the azimuth dimension is deduced by solving the minimization problem using the iteration algorithm, then it is used to obtain the angular frequencies in which azimuth and elevation angles are coupled, and signals of different angular frequencies are separated. Finally, the sparse solution relating to each signal is obtained to get the elevation angle and then compute the corresponding azimuth angle. A modified method is presented to overcome the blind angular region problem occurred in the algorithm. Compared with the traditional high-resolution methods, the proposed method has lower SNR threshold and simple procedure to achieve high precision with lower sidelobe level. Numerical simulation results verify the effectiveness of the method.
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Received: 10 April 2009
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Corresponding Authors:
Yang Xue-ya
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