Geometry-induced range-dependence compensation for bistatic STAP with conformal arrays

Philippe Ries; Fabian D. Lapierre; Jacques G. Verly

doi:10.1109/TAES.2011.5705675

Geometry-induced range-dependence compensation for bistatic STAP with conformal arrays

Philippe Ries, Fabian D. Lapierre, Jacques G. Verly

Communication, Information, Systems and Sensors

Université de Liège

Research output: Contribution to journal › Article › peer-review

Abstract

Radar space-time adaptive processing (STAP) is a well-suited technique to detect slow-moving targets in the presence of a strong interference background. We consider STAP for a radar operating in a bistatic radar configuration and collecting returns with 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 STAP processor from achieving its optimum performance. The compensation of the range-dependence (RD) requires the knowledge of the locus of the clutter signature. We use a new RANSAC-based method for estimating this locus or, equivalently, the flight configuration parameters. Based on this knowledge, we perform an RD compensation of the snapshots to obtain an accurate estimate of the clutter covariance matrix. End-to-end performance analysis in terms of signal-to-inference-plus-noise ratio loss shows that our method yields promising performance.

Original language	English
Article number	5705675
Pages (from-to)	275-294
Number of pages	20
Journal	IEEE Transactions on Aerospace and Electronic Systems
Volume	47
Issue number	1
DOIs	https://doi.org/10.1109/TAES.2011.5705675
Publication status	Published - Jan 2011

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abstract = "Radar space-time adaptive processing (STAP) is a well-suited technique to detect slow-moving targets in the presence of a strong interference background. We consider STAP for a radar operating in a bistatic radar configuration and collecting returns with 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 STAP processor from achieving its optimum performance. The compensation of the range-dependence (RD) requires the knowledge of the locus of the clutter signature. We use a new RANSAC-based method for estimating this locus or, equivalently, the flight configuration parameters. Based on this knowledge, we perform an RD compensation of the snapshots to obtain an accurate estimate of the clutter covariance matrix. End-to-end performance analysis in terms of signal-to-inference-plus-noise ratio loss shows that our method yields promising performance.",

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Geometry-induced range-dependence compensation for bistatic STAP with conformal arrays

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