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One-bitDoA estimation via Sparse Linear Arrays
Sedighi, Saeid; Mysore Rama Rao, Bhavani Shankar; Soltanalian, Mojtaba et al.
2020In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Peer reviewed
 

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Keywords :
One-bit quantization; direction of arrival (DoA) estimation; Sparse linear arrays
Abstract :
[en] Parameter estimation from noisy and one-bit quantized data has become an important topic in signal processing, as it offers low cost and low complexity in the implementation. On the other hand, Direction-of-Arrival (DoA) estimation using Sparse Linear Arrays (SLAs) has recently gained considerable interest in array processing due to their attractive capability of providing enhanced degrees of freedom. In this paper, the problem of DoA estimation from one-bit measurements received by an SLA is considered and a novel framework for solving this problem is proposed. The proposed approach first provides an estimate of the received signal covariance matrix through minimization of a constrained weighted least-squares criterion. Then, MUSIC is applied to the spatially smoothed version of the estimated covariance matrix to find the DoAs of interest. Several numerical results are provided to demonstrate the superiority of the proposed approach over its counterpart already propounded in the literature.
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SIGCOM
Disciplines :
Electrical & electronics engineering
Author, co-author :
Sedighi, Saeid ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Mysore Rama Rao, Bhavani Shankar  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Soltanalian, Mojtaba
Ottersten, Björn ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
yes
Language :
English
Title :
One-bitDoA estimation via Sparse Linear Arrays
Publication date :
2020
Event name :
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Event date :
from 04-05-2020 to 08-05-2020
Audience :
International
Main work title :
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Peer reviewed :
Peer reviewed
Focus Area :
Security, Reliability and Trust
Funders :
FNR - Fonds National de la Recherche [LU]
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