Article (Scientific journals)
DoA Estimation Using Low-Resolution Multi-BitSparse Array Measurements
SEDIGHI, Saeid; MYSORE RAMA RAO, Bhavani Shankar; Soltanalian, Mojtaba et al.
2021In IEEE Signal Processing Letters
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Keywords :
Direction of arrival (DoA) estimation; low-resolution quantization; Sparse linear arrays
Abstract :
[en] This letter studies the problem of Direction of Arrival (DoA) estimation from low-resolution few-bit quantized data collected by Sparse Linear Array (SLA). In such cases, contrary to the one-bit quantization case, the well known arcsine law cannot be employed to estimate the covaraince matrix of unquantized array data. Instead, we develop a novel optimization-based framework for retrieving the covaraince matrix of unquantized array data from low-resolution few-bit measurements. The MUSIC algorithm is then applied to an augmented version of the recovered covariance matrix to find the source DoAs. The simulation results show that increasing the sampling resolution to $2$ or $4$ bits per samples could significantly increase the DoA estimation performance compared to the one-bit sampling regime while the power consumption and implementation costs is still much lower in comparison to the high-resolution sampling implementations.
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 :
DoA Estimation Using Low-Resolution Multi-BitSparse Array Measurements
Publication date :
2021
Journal title :
IEEE Signal Processing Letters
ISSN :
1070-9908
Publisher :
Institute of Electrical and Electronics Engineers, United States
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Security, Reliability and Trust
Funders :
FNR - Fonds National de la Recherche [LU]
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since 22 June 2021

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