One-bitDoA estimation via Sparse Linear Arrays

[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

Available on ORBilu :

since 24 June 2021

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