Two Dimensional DOA Estimation Based on Sparse Representation of Space Angle

Li Peng-Fei; Zhang Min; Zhong Zi-Fa

doi:10.3724/SP.J.1146.2011.00255

Volume 33 Issue 10

Nov. 2011

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2011 > 33(10): 2402-2406

Li Peng-Fei, Zhang Min, Zhong Zi-Fa. Two Dimensional DOA Estimation Based on Sparse Representation of Space Angle[J]. Journal of Electronics & Information Technology, 2011, 33(10): 2402-2406. doi: 10.3724/SP.J.1146.2011.00255

Citation:

Li Peng-Fei, Zhang Min, Zhong Zi-Fa. Two Dimensional DOA Estimation Based on Sparse Representation of Space Angle[J]. Journal of Electronics & Information Technology, 2011, 33(10): 2402-2406. doi: 10.3724/SP.J.1146.2011.00255

Citation:

PDF( 362 KB)

Two Dimensional DOA Estimation Based on Sparse Representation of Space Angle

doi: 10.3724/SP.J.1146.2011.00255

Li Peng-Fei^{* 张旻钟子发
,},
Zhang Min,
Zhong Zi-Fa

Received Date: 2011-03-21
Rev Recd Date: 2011-07-08
Publish Date: 2011-10-19

Abstract

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.
- Signal processing,
- Direction Of Arrival (DOA),
- Two dimensional angle,
- Sparse representation,
- Space angle

FullText(HTML)

References(1)

References

Forster P, Larzabal P, and Boyer E. Threshold performance analysis of maximum likelihood DOA estimation [J].IEEE Transactions on Signal Processing.2004, 52(11):3183-3191[4]Gao Fei-fei, Nallanathan A, and Wang Yi-de. Improved MUSIC under the coexistence of both circular and noncircular sources[J].IEEE Transactions on Signal Processing.2008, 56(7):3033-3038[5]Guo Xian-sheng, Wan Qun, Chang Chun-qi, et al.. Source localization using a sparse representation framework to achieve superresolution [J].Mulitidimensional Systems and Signal Processing.2010, 21(4):391-402[6]Chow K Y, Lui K S, and Lam E Y. Wireless sensor networks scheduling for full angle coverage [J].Multidimensional Systems and Signal Processing.2009, 20(2):101-119[7]Malioutov D,etin M, and Willsky Alan S. A sparse signal reconstruction perspective for source localization with sensor arrays [J].IEEE Transactions on Signal Processing.2005, 53(8):3010-3022[10]Donoho D and Huo X. Uncertainty principles and ideal atomic decompositions [J].IEEE Transactions on Information Theory.2001, 47(7):2845-2862[11]Elad M and Bruckstein A M. A generalized uncertainty principle and sparse representation in pairs of bases [J].IEEE Transactions on Information Theory.2002, 48(9):2558-2567

Relative Articles

Supplements(0)

Cited By

Proportional views