Entropy based phase calibration of antenna arrays for digital beamforming remote sensing radars

Paco Lopez Dekker, Gordon Farquharson, Stephen J. Frasier

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

7 Citations (Scopus)

Abstract

A minimum entropy based calibration algorithm for digitally beamformed imaging radars is presented. The algorithm is derived from work in SAR which corrects phase errors due to platform motion. The performance of the algorithm is compared to traditional techniques through both simulations and data from two imaging radars. The algorithm performs well with similar sidelobe levels for a point target. The results show that the minimum phase entropy algorithm produces a calibration vector without the need for a calibration target or for stringent scene statistics.

Original languageEnglish
Title of host publicationIEEE National Radar Conference - Proceedings
Pages445-452
Number of pages8
Publication statusPublished - 2002
Externally publishedYes
EventProceedings of the 2002 IEEE Radar Conference - Long Beach, CA, United States
Duration: 22 Apr 200225 Apr 2002

Conference

ConferenceProceedings of the 2002 IEEE Radar Conference
CountryUnited States
CityLong Beach, CA
Period22/04/0225/04/02

Fingerprint Dive into the research topics of 'Entropy based phase calibration of antenna arrays for digital beamforming remote sensing radars'. Together they form a unique fingerprint.

Cite this