Registration-based range-dependence compensation for bistatic STAP radars

Authors:
Fabian D. Lapierre;Jacques G. Verly
Affiliations:
Department of Electrical Engineering and Computer Science, University of Liege, Sart Tilman, Liege, Belgium;Department of Electrical Engineering and Computer Science, University of Liege, Sart Tilman, Liege, Belgium
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2005

Citing 1
Cited 3

Computer Vision

Computer Vision

Linear prediction of range-dependent inverse covariance matrix (PICM) sequences

Signal Processing
Range dependent clutter rejection using range-recursive space-time adaptive processing (STAP) algorithms

Signal Processing
Registration-based compensation using sparse representation in conformal-array STAP

Signal Processing

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Abstract

We address the problem of detecting slow-moving targets using space-time adaptive processing (STAP) radar. Determining the optimum weights at each range requires data snapshots at neighboring ranges. However, in virtually all configurations, snapshot statistics are range dependent, meaning that snapshots are nonstationary with respect to range. This results in poor performance. In this paper, we propose a new compensation method based on registration of clutter ridges and designed to work on a single realization of the stochastic snapshot at each range. The method has been successfully tested on simulated, stochastic snapshots. An evaluation of performance is presented.