Paper Info
Title
DOA estimation of closely-spaced and spectrally-overlapped sources using a STFT-based MUSIC algorithm.
Abstract
The multiple signal classification (MUSIC) algorithm based on spatial time-frequency distribution (STFD) has been investigated for direction of arrival (DOA) estimation of closely-spaced sources. However, the limitations of the bilinear time-frequency based MUSIC (TF-MUSIC) algorithm lie in that it suffers from heavy implementation complexity, and its performance strongly depends on appropriate selection of auto-term location of the sources in time-frequency (TF) domain for the formulation of a group of STFD matrices, which is practically difficult especially when the sources are spectrally-overlapped. In order to relax these limitations, this paper aims to develop a novel DOA estimation algorithm. Specifically, we build a MUSIC algorithm based on spatial short-time Fourier transform (STFT), which effectively reduces implementation cost. More importantly, we propose an efficient method to precisely select single-source auto-term location for constructing the STFD matrices of each source. In addition to low complexity, the main advantage of the proposed STFT-MUSIC algorithm compared to some existing ones is that it can better deal with closely-spaced sources whose spectral contents are highly overlapped in TF domain. A short-time Fourier transform (STFT) based MUSIC algorithm is proposed.The proposed STFT-MUSIC algorithm has a low implementation complexity.A selection method of single-source time-frequency (TF) points in case of complex-valued mixing matrix is proposed.The STFT-MUSIC algorithm can be implemented with a small number of sensors in underdetermined cases.The STFT-MUSIC algorithm is especially suitable for closely-spaced and spectrally-overlapped sources.
Year
DOI
Venue
2016
10.1016/j.dsp.2016.01.015
Digital Signal Processing
Keywords
Field
DocType
DOA estimation,MUSIC,Closely-spaced sources,Spectrally-overlapped sources,Short-time Fourier transform
Small number,Multiple signal classification,Pattern recognition,Underdetermined system,Direction of arrival,Matrix (mathematics),Short-time Fourier transform,Fourier transform,Artificial intelligence,Mathematics,Bilinear interpolation
Journal
Volume
Issue
ISSN
52
C
1051-2004
Citations 
PageRank 
References 
4
0.43
33
Authors
5
Name
Order
Citations
PageRank
Haijian Zhang114216.78
Guoan Bi279092.70
Yunlong Cai38611.26
Sirajudeen Gulam Razul49614.41
Chong Meng Samson See517519.41