A Kronecker-based sparse compressive sensing matrix for millimeter wave beam alignment

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

Abstract

Millimeter wave beam alignment (BA) is a challenging problem especially for large number of antennas. Compressed sensing (CS) tools have been exploited due to the sparse nature of such channels. This paper presents a novel deterministic CS approach for BA. Our proposed sensing matrix which has a Kronecker-based structure is sparse, which means it is computationally efficient. We show that our proposed sensing matrix satisfies the restricted isometry property (RIP) condition, which guarantees the reconstruction of the sparse vector. Our approach outperforms existing random beamforming techniques in practical low signal to noise ratio (SNR) scenarios.

Original languageEnglish
Title of host publication2019, 13th International Conference on Signal Processing and Communication Systems (ICSPCS)
Subtitle of host publicationproceedings
EditorsTadeusz A. Wysocki, Beata J. Wysocki
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages5
ISBN (Electronic)9781728121949, 9781728121932
ISBN (Print)9781728121956
DOIs
Publication statusPublished - 2019
Event13th International Conference on Signal Processing and Communication Systems, ICSPCS 2019 - Gold Coast, Australia
Duration: 16 Dec 201918 Dec 2019

Conference

Conference13th International Conference on Signal Processing and Communication Systems, ICSPCS 2019
CountryAustralia
CityGold Coast
Period16/12/1918/12/19

Fingerprint

Dive into the research topics of 'A Kronecker-based sparse compressive sensing matrix for millimeter wave beam alignment'. Together they form a unique fingerprint.

Cite this