Knowledge-aided array calibration for registration-based range-dependence compensation in airborne STAP radar with conformal antenna arrays

Abstract : We consider space-time adaptive processing (STAP) when the radar returns are recorded by a conformal antenna array (CAA). The statistics of the secondary data snapshots used to estimate the optimum weight vector are not identically distributed with respect to range, thus preventing the customary STAP processor from achieving its optimum performance. The compensation of the range-dependence of the secondary data requires the precise knowledge of the space-time steering vector. We propose a new knowledge-aided method based on the eigenstructure of the space-time covariance matrix for calibrating the gain and phase of each sensor in the CAA. Based on the calibrated space-time steering vectors, we can perform an accurate range-dependence compensation to obtain a valid estimate of the covariance matrix. End-to-end performance analysis in terms of signal to inference-plus-noise ratio loss shows that the method yields promising performance.
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https://hal-supelec.archives-ouvertes.fr/hal-00272360
Contributor : Walid Tabbara <>
Submitted on : Friday, April 11, 2008 - 2:24:47 PM
Last modification on : Tuesday, May 14, 2019 - 9:36:32 AM

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Philippe Ries, Marc Lesturgie, Fabien Lapierre, Jacques Verly. Knowledge-aided array calibration for registration-based range-dependence compensation in airborne STAP radar with conformal antenna arrays. 2007 European Radar Conference (EURAD 2007), Oct 2007, Munich, Germany. ⟨10.1109/EURAD.2007.4404938⟩. ⟨hal-00272360⟩

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