Robust sparse antenna array design via compressive sensing

Matthew B. Hawes, Wei Liu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

31 Citations (Scopus)

Abstract

In sparse arrays, the randomness of antenna locations avoids the introduction of grating lobes, while allowing adjacent antenna spacings to be greater than half a wavelength. This means a larger array size can be implemented using a relatively small number of antennas. However, careful consideration has to be given to antenna locations to ensure that an acceptable performance level is achieved. Model perturbations can also cause steering vector errors, which in turn cause discrepancies in the array's response and this makes a robust array desirable. This paper presents a design method for robust sparse antenna arrays based on an extension of compressive sensing. An extra constraint is applied to the process to ensure that the change in response due to a norm-bounded steering vector error is kept below an acceptable level. Design examples are presented to validate the effectiveness of the method.

Original languageEnglish
Title of host publication2013 18th International Conference on Digital Signal Processing, DSP 2013
DOIs
Publication statusPublished - Oct 2013
Event2013 18th International Conference on Digital Signal Processing, DSP 2013 - Santorini, Greece
Duration: 1 Jul 20133 Jul 2013

Publication series

Name2013 18th International Conference on Digital Signal Processing, DSP 2013

Conference

Conference2013 18th International Conference on Digital Signal Processing, DSP 2013
Country/TerritoryGreece
CitySantorini
Period1/07/133/07/13

ASJC Scopus subject areas

  • Signal Processing

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