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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/14971

Title: Two-Dimensional Signal Adaptive Processing for Airborne Radar
Authors: M. Barkat
J. M. Nicolas
Keywords: Signal processing, Radar, Space-Time Processing, STAP.
Issue Date: 2011
Publisher: J. M. Nicolas
Abstract: In static radars, all the ground returns are received with a Doppler frequency almost null. However, in airborne radars, they present a wide spectrum for the Doppler frequencies because of the platform in motion. Space-time adaptive processing (STAP) was introduced to improve the capacity of radars to detect slow moving targets which can be masked by clutter or jammer. In this paper, we present the principles of STAP and we discuss the properties of optimum detector, as well as problems associated with estimating the adaptive weights such as ambiguities and the high computational cost. The performances are evaluated highlighting the influence of radar parameters on the detection of slow targets. To resolve problem of high computational cost of optimal space-time processing, reduced-rank methods are used. And to resolve Doppler ambiguities staggering of PRF is used. The simulation results are presented and the performances of STAP are discussed.
URI: http://hdl.handle.net/123456789/14971
Appears in Collections:College of Computer and Information Sciences

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