Communications and Networking. 12th International Conference, ChinaCom 2017, Xi’an, China, October 10-12, 2017, Proceedings, Part II

Research Article

Sparse Reconstruction in Frequency Domain and DOA Estimation for One-Dimensional Wideband Signals

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  • @INPROCEEDINGS{10.1007/978-3-319-78139-6_6,
        author={Jiaqi Zhen and Yanchao Li},
        title={Sparse Reconstruction in Frequency Domain and DOA Estimation for One-Dimensional Wideband Signals},
        proceedings={Communications and Networking. 12th International Conference, ChinaCom 2017, Xi’an, China, October 10-12, 2017, Proceedings, Part II},
        proceedings_a={CHINACOM},
        year={2018},
        month={4},
        keywords={Direction of arrival Sparse reconstruction Frequency domain Wideband signals},
        doi={10.1007/978-3-319-78139-6_6}
    }
    
  • Jiaqi Zhen
    Yanchao Li
    Year: 2018
    Sparse Reconstruction in Frequency Domain and DOA Estimation for One-Dimensional Wideband Signals
    CHINACOM
    Springer
    DOI: 10.1007/978-3-319-78139-6_6
Jiaqi Zhen1,*, Yanchao Li1
  • 1: Heilongjiang University
*Contact email: zhenjiaqi2011@163.com

Abstract

Previous recovery methods in the literature are usually based on grid partition, which will bring about some perturbation to the eventual result. In the paper, a novel idea for one-dimensional wideband signals by sparse reconstruction in frequency domain is put forward. Firstly, Discrete Fourier Transformation (DFT) is performed on the received data. Then the data of the frequency with the most power is expressed by Fourier serious coefficients. On this basis, the optimization functions and corresponding dual problems are solved. After that the support set is calculated, and the primary sources of this frequency and direction of arrival (DOA) can also be acquired. Comparing with the traditional methods, the proposed approach has further improved the estimation accuracy.