TY - JOUR
T1 - Time-Domain Wideband DOA Estimation Under the Convolutional Sparse Coding Framework
AU - Wan, Zhengyu
AU - Liu, Wei
N1 - Publisher Copyright:
1070-9908 © 2021 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See https://www.ieee.org/publications/rights/index.html for more information.
PY - 2021/12
Y1 - 2021/12
N2 - The wideband direction of arrival (DOA) estimation problem can be formulated into a narrowband form by applying discrete Fourier Transform (DFT) to sensor measurements; however, a large number of temporal snapshots are required in order to meet the narrowband assumption in the frequency-domain. To reduce the number of snapshots required, a convolutional sparse coding (CSC) based wideband signal model is proposed for direct time-domain DOA estimation, and a group sparsity based minimization problem is formulated. Simulation results indicate that the proposed time-domain CSC (TD-CSC) based method has a better performance than the frequency-domain method, but with a higher computational complexity.
AB - The wideband direction of arrival (DOA) estimation problem can be formulated into a narrowband form by applying discrete Fourier Transform (DFT) to sensor measurements; however, a large number of temporal snapshots are required in order to meet the narrowband assumption in the frequency-domain. To reduce the number of snapshots required, a convolutional sparse coding (CSC) based wideband signal model is proposed for direct time-domain DOA estimation, and a group sparsity based minimization problem is formulated. Simulation results indicate that the proposed time-domain CSC (TD-CSC) based method has a better performance than the frequency-domain method, but with a higher computational complexity.
KW - Convolution
KW - Direction-of-arrival estimation
KW - Discrete Fourier transforms
KW - Estimation
KW - Narrowband
KW - Time-domain analysis
KW - Wideband
UR - http://www.scopus.com/inward/record.url?scp=85124236830&partnerID=8YFLogxK
U2 - 10.1109/LSP.2021.3134554
DO - 10.1109/LSP.2021.3134554
M3 - Journal article
AN - SCOPUS:85124236830
SN - 1070-9908
VL - 29
SP - 274
EP - 278
JO - IEEE Signal Processing Letters
JF - IEEE Signal Processing Letters
ER -