DOA estimation of closely-spaced and spectrally-overlapped sources using a STFT-based MUSIC algorithm
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- 作者：Haijian Zhanga ; b ; haijian.zhang@whu.edu.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Guoan Bib ; egbi@ntu.edu.sg" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Yunlong Caic ; ylcai@zju.edu.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Sirajudeen Gulam Razuld ; e ; esirajudeen@ntu.edu.sg" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Chong Meng Samson Seed ; e ; samsonsee@ntu.edu.sg" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：DOA estimation ; MUSIC ; Closely-spaced sources ; Spectrally-overlapped sources ; Short-time Fourier transform
- 刊名：Digital Signal Processing
- 出版年：2016
- 出版时间：May 2016
- 年：2016
- 卷：52
- 期：Complete
- 页码：25-34
- 全文大小：2731 K
文摘
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A short-time Fourier transform (STFT) based MUSIC algorithm is proposed.
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The proposed STFT-MUSIC algorithm has a low implementation complexity.
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A selection method of single-source time-frequency (TF) points in case of complex-valued mixing matrix is proposed.
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The STFT-MUSIC algorithm can be implemented with a small number of sensors in underdetermined cases.
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The STFT-MUSIC algorithm is especially suitable for closely-spaced and spectrally-overlapped sources.