Reference : Recurrent Design of Probing Waveform for Sparse Bayesian Learning Based DOA Estimation

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Security, Reliability and Trust
	To cite this reference:	http://hdl.handle.net/10993/53391

Title :	Recurrent Design of Probing Waveform for Sparse Bayesian Learning Based DOA Estimation
Language :	English
Author, co-author :	Wu, Linlong []
	Dai, Jisheng []
	Mysore Rama Rao, Bhavani Shankar [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC >]
	Hu, Ruizhi []
	Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	2022
Main document title :	ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Publisher :	IEEE
Peer reviewed :	Yes
Audience :	International
Event name :	ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Event date :	23-05-2022 to 27-05-2022
Event place (city) :	Singapore
Event country :	Singapore
Abstract :	[en] Direction-of-arrival (DOA) estimation can be represented as a sparse signal recovery problem and effectively solved by sparse Bayesian learning (SBL). For the DOA estimation in active sensing, the SBL-based estimation error is related to the transmitted probing waveform. Therefore, it is expected to improve the estimation by waveform optimization. In this paper, we propose a recurrent scheme of waveform design by sequentially leveraging on the previous-round SBL estimates. Within this scheme, we formulate the waveform design problem as a minimization of the SBL estimation variance, which is non-convex and then solved by a majorization-minimization based algorithm. The simulations demonstrate the efficacy of the proposed design scheme in terms of avoiding incorrect detection and accelerating the DOA estimation convergence. Further, the results indicate that the waveform design is essentially a beampattern shaping methodology.
Permalink :	http://hdl.handle.net/10993/53391
DOI :	10.1109/ICASSP43922.2022.9746708

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