Dynamic direction-of-arrival estimation via spatial compressive sensing

P. Khomchuk, I. Bilik

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

4 Scopus citations

Abstract

This work addresses a problem of dynamic spatial spectrum estimation using linear sensor array via spatial compressive sensing (SCS). Static SCS approach is generalized for scenarios with dynamic far-field sources via Kalman filter, which provides the noncoherent minimum mean squared integration of instantaneous spatial spectrum estimations. The proposed dynamic SCS approach (DSCS) is shown to be efficient in low-SNR scenarios when the spatial spectrum is nonsparse, and therefore, the static SCS-based method cannot be used. Performance of the DSCS was evaluated in bearing-only target tracking scenarios where maneuvering target was considered.

Original languageEnglish
Title of host publication2010 IEEE Radar Conference
Subtitle of host publicationGlobal Innovation in Radar, RADAR 2010 - Proceedings
Pages1191-1196
Number of pages6
DOIs
StatePublished - 30 Jul 2010
Externally publishedYes
EventIEEE International Radar Conference 2010, RADAR 2010 - Washington DC, United States
Duration: 10 May 201014 May 2010

Publication series

NameIEEE National Radar Conference - Proceedings
ISSN (Print)1097-5659

Conference

ConferenceIEEE International Radar Conference 2010, RADAR 2010
Country/TerritoryUnited States
CityWashington DC
Period10/05/1014/05/10

Fingerprint

Dive into the research topics of 'Dynamic direction-of-arrival estimation via spatial compressive sensing'. Together they form a unique fingerprint.

Cite this