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

Paco Lopez Dekker; Gordon Farquharson; Stephen J. Frasier

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 volume › Conference contribution › Scientific › peer-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 language	English
Title of host publication	IEEE National Radar Conference - Proceedings
Pages	445-452
Number of pages	8
Publication status	Published - 2002
Externally published	Yes
Event	Proceedings of the 2002 IEEE Radar Conference - Long Beach, CA, United States Duration: 22 Apr 2002 → 25 Apr 2002

Conference

Conference	Proceedings of the 2002 IEEE Radar Conference
Country	United States
City	Long Beach, CA
Period	22/04/02 → 25/04/02

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title = "Entropy based phase calibration of antenna arrays for digital beamforming remote sensing radars",

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.",

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AU - Farquharson, Gordon

AU - Frasier, Stephen J.

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N2 - 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.

AB - 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.

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