New high resolution direction of arrival estimation using compressive sensing

Audri Biswas, Sam Reisenfeld

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

1 Citation (Scopus)

Abstract

In military communication and several direction finding applications, precise estimation of the DOA, incorporated with smart beam-forming techniques, can provide useful solutions for interference mitigation and jammer identification. Compressive Sensing (CS) based DOA approaches offer a competitive advantage over the traditional DOA estimation techniques due to their ability to obtain an estimate with measurements collected at a single time instant (i.e. snapshot). However, in reality, CS based methods suffer from grid quantization errors as the source may not exactly align on the discrete grid points. This creates a mismatch between the observation and measurement matrices resulting in an inaccurate estimate. This paper proposes a fundamentally new, recursive algorithm to estimate incoming DOA of a source with zero quantization error. The recursive algorithm is strongly convergent and demonstrates superior performance relative to previous methods. The performance of the algorithm is validated by comparison to the theoretical Cramér-Rao lower bound (CRLB). An array geometry optimization technique is also proposed that enables the recursive algorithm to achieve the CRLB with just two iterations.

Original languageEnglish
Title of host publication2017 IEEE 22nd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-6
Number of pages6
ISBN (Electronic)9781509063024
ISBN (Print)9781509063031
DOIs
Publication statusPublished - 11 Sep 2017
Event22nd IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2017 - Lund, Sweden
Duration: 19 Jun 201721 Jun 2017

Conference

Conference22nd IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2017
CountrySweden
CityLund
Period19/06/1721/06/17

Fingerprint Dive into the research topics of 'New high resolution direction of arrival estimation using compressive sensing'. Together they form a unique fingerprint.

Cite this