NDLI: Joint power distribution and direction of arrival estimation for wideband signals using sparse Bayesian learning

Content Provider	IET Digital Library
Author	Wang, Yi Chen, Baixiao Zheng, Yisong Yang, Minglei
Abstract	In this study, a novel algorithm called wideband sparse Bayesian learning (WSBL) is proposed for the power distribution and the direction of arrival (DOA) estimation of wideband signals. The received signals are firstly converted into the time–frequency domain by discrete Fourier transform, then the wideband DOA estimation problem can be constructed as a special multiple measurement vectors case of the sparse signal recovery problem. The WSBL algorithm, which exploits the source power distribution at different frequency bins is proposed for the sparse spectral estimation. It is shown that WSBL has good performance in low signal-to-noise ratio and small snapshot number scenario. Without the prior knowledge of source number and focusing matrices, WSBL can estimate the source power distribution and the DOAs of wideband signals simultaneously. In addition, WSBL can also avoid ambiguity even when the array does not meet the half-wavelength spacing condition. The sensor spacing can be larger than the half-wavelength at the lowest frequency of the wideband signals. Simulation results show the efficiency of the proposed method.
Starting Page	52
Ending Page	59
Page Count	8
ISSN	17518784
Volume Number	11
e-ISSN	17518792
Issue Number	Issue 1, Jan (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/11/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2015.0610
Journal	IET Radar, Sonar & Navigation
Publisher Date	2016-05-05
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Bayes Method Direction of Arrival Estimation Discrete Fourier Transform Focusing Matrix Frequency Bins Integral Transforms Joint Power Distribution Learning in AI Low Signal-to-noise Ratio Multiple Measurement Vector Sensor Spacing Signal Processing And Detection Signal Processing Theory Small Snapshot Number Scenario Source Power Distribution Sparse Signal Recovery Problem Sparse Spectral Estimation Statistics Time-frequency Analysis Time–frequency Domain Wideband DOA Estimation Problem Wideband Signal Wideband Sparse Bayesian Learning Algorithm WSBL Algorithm
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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