Proceedings of the First International Conference on Information Science and Electronic Technology

2-D DOA Estimation of LFM Signals Based on Sparse Representation in Fractional Fourier Domain

Authors
Zhibo Shen, Songyang Liu, Yangyang Dong, Guoqing Zhao, Chunxi Dong
Corresponding Author
Zhibo Shen
Available Online March 2015.
DOI
https://doi.org/10.2991/iset-15.2015.39How to use a DOI?
Keywords
LFM signal, DOA estimation, Fractional fourier transform, Sparse recovery
Abstract
For the problem of two dimensional direction of arrival (2-D DOA) estimation of Liner Frequency Modulated (LFM) signals, a novel 2-D DOA estimation method is proposed based on sparse representation in fractional Fourier domain. First, utilizing the energy-concentrated characteristic of fractional Fourier transform for LFM signals, the redundant dictionaries based on the space angles are established in fractional Fourier domain. Then the space angles can be estimated by sparse recovery algorithm respectively. Finally, the azimuth and elevation angles are calculated through the estimated space angles. The proposed method has a better estimation precision, high-resolution performance and lower SNR threshold without multidimensional search process. The validity of the proposed method is verified by theoretic analysis and simulation results.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
First International Conference on Information Science and Electronic Technology (ISET 2015)
Part of series
Advances in Computer Science Research
Publication Date
March 2015
ISBN
978-94-62520-50-9
DOI
https://doi.org/10.2991/iset-15.2015.39How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zhibo Shen
AU  - Songyang Liu
AU  - Yangyang Dong
AU  - Guoqing Zhao
AU  - Chunxi Dong
PY  - 2015/03
DA  - 2015/03
TI  - 2-D DOA Estimation of LFM Signals Based on Sparse Representation in Fractional Fourier Domain
BT  - First International Conference on Information Science and Electronic Technology (ISET 2015)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/iset-15.2015.39
DO  - https://doi.org/10.2991/iset-15.2015.39
ID  - Shen2015/03
ER  -