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| Two Dimensional DOA Estimation Based on Sparse Representation of Space Angle |
| Li Peng-fei Zhang Min Zhong Zi-fa |
(Laboratory 309, Electronic Engineering Institute of Hefei, Hefei 230037, China)
(Key Laboratory of Electronic Restricting Technique, Anhui Province, Hefei 230037, China) |
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Abstract To solve the problem of estimating two dimensional Direction Of Arrival (DOA) using sparse representation, a novel DOA estimation method is proposed to estimate the DOAs of two-dimensional signals based on sparse representation of space angle. So the space angle is put forward to construct the dictionary. By this way, the dimension of dictionary is reduced to one-dimension from two-dimensional space, and the length of the redundant dictionary is largely reduced. Then the algorithm is extended to frequency domain, and the frequency sparse representation of space angle method is presented. Compared with the traditional high-resolution methods, the proposed method has lower SNR threshold and smaller snaps. Theoretical analysis and simulation experiments verify the algorithm has a better performance in the aspect of precision and resolution to estimate the DOAs of two-dimensional coherent signals than the MUSIC algorithm.
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Received: 21 March 2011
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Corresponding Authors:
Li Peng-fei
E-mail: eei_li@163.com
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2011, Vol. 33 
