61 / 2019-12-12 01:10:00
Robust DOA Estimation for Sources with Known Waveforms in Impulsive Noise Environments
Direction of arrival estimation; known waveform; impulsive noise; majorization-minimization
全文录用
Yang-Yang Dong / Xidian University, China
Chun-Xi Dong / Xidian University, China
Zhong-Guo Wu / Luoyang Electronic Equipment Test Center of China, China
Jingjing Cai / Xidian University, China
Hua Chen / Ningbo University, China
Conventional direction of arrival (DOA) estimation methods for known waveform sources have often assumed the noise being Gaussian distribution. However, the impulsive noise are frequently encountered in practice, which may severely degrade their estimation performance. To deal with this problem, we firstly construct a hybrid cost function to obtain the matrix related to unknown DOAs and complex amplitudes in the presence of impulsive noise. Then, by incorporating the majorization-minimization (MM) framework, the cost function is optimized iteratively. Finally, the DOAs and complex amplitudes are estimated via using the inherent relationship of the matrix calculated from the MM step. As demonstrated by simulation results, for strongly impulsive noise, the proposed method has a better estimation performance than many existing methods. Moreover, it can handle both weakly and strongly impulsive cases effectively.
重要日期
  • 会议日期

    06月08日

    2020

    06月11日

    2020

  • 01月12日 2020

    初稿截稿日期

  • 04月15日 2020

    提前注册日期

  • 12月31日 2020

    注册截止日期

主办单位
IEEE Signal Processing Society
承办单位
Zhejiang University
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