Paper Info
Title
ON THE ASYMPTOTIC PERFORMANCE OF ONE-BIT CO-ARRAY-BASED MUSIC
Abstract
Co-array-based Direction of Arrival (DoA) estimation using Sparse Linear Arrays (SLAs) has recently gained considerable attention in array processing thanks to its capability of providing enhanced degrees of freedom for DoAs that can be resolved. Additionally, deployment of one-bit Analog-to-Digital Converters (ADCs) has become an important topic in array processing, as it offers both a low-cost and a low-complexity implementation. Although the problem of DoA estimation form one-bit SLA measurements has been studied in some prior works, its analytical performance has not yet been investigated and characterized. In this paper, to provide valuable insights into the performance of DoA estimation from one-bit SLA measurements, we derive an asymptotic closed-form expression for the performance of One-Bit Co-Array-Based MUSIC (OBCAB-MUSIC). Further, numerical simulations are provided to validate the asymptotic closed-form expression for the performance of OBCAB-MUSIC and to show an interesting use case of it in evaluating the resolution of OBCAB-MUSIC.
Year
DOI
Venue
2021
10.1109/ICASSP39728.2021.9414706
2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021)
Keywords
DocType
Citations 
One-bit quantization, sparse linear arrays, direction of arrival (DoA) estimation, performance evaluation
Conference
0
PageRank 
References 
Authors
0.34
15
4
Name
Order
Citations
PageRank
Saeid Sedighi1215.80
M. R. Bhavani Shankar263.58
Mojtaba Soltanalian320325.50
Björn E. Ottersten46418575.28