Results 11 to 20 of about 939 (214)
Remote Sensing, 2022 Space-time adaptive processing (STAP) is a fundamental topic in airborne radar applications due to its clutter suppression ability. Reduced-dimension (RD)-STAP can release the requirement of the number of training samples and reduce the computational ...
Di Song +4 more
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Reduced Degrees of Freedom in Space-Time Adaptive Processing for Space-based Early Warning Radar
Leida xuebao, 2022 The clutter of space-based early warning radar exhibits tight coupling in the azimuth-elevation-Doppler domain due to the high speed of satellites and the Earth’s rotation.
Keqing DUAN +4 more
doaj +2 more sources
Space-Time Adaptive Processing (STAP) Developments in Thales
, 2009 Space-Time Adaptive Processing (STAP) has been shown to provide significant improvements in many different application areas [1]. Though similar in principle, those applications exhibit specificities, related for example to the characteristics of the antenna arrays and to the statistical properties of the involved signals.
Le Chevalier, François +4 more
openaire +2 more sources
Overview of Space-Time Adaptive Processing for Airborne Multiple-Input Multiple-Output Radar
Leida xuebao, 2015 Multiple-Input Multiple-Output (MIMO) radar is an emerging radar system that is of great interest to military and academic organizations due to its advantages and extensive applications.
Wang Ting, Zhao Yong-jun, Hu Tao
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Knowledge-aided STAP in heterogeneous clutter using a hierarchical bayesian algorithm [PDF]
, 2011 This paper addresses the problem of estimating the covariance matrix of a primary vector from heterogeneous samples and some prior knowledge, under the framework of knowledge-aided space-time adaptive processing (KA-STAP).
Bidon, Stéphanie +5 more
core +1 more source
A bayesian approach to adaptive detection in nonhomogeneous environments [PDF]
, 2008 We consider the adaptive detection of a signal of interest embedded in colored noise, when the environment is nonhomogeneous, i.e., when the training samples used for adaptation do not share the same covariance matrix as the vector under test. A Bayesian
Bidon, Stéphanie +2 more
core +1 more source
Adaptive processing with signal contaminated training samples [PDF]
, 2013 We consider the adaptive beamforming or adaptive detection problem in the case of signal contaminated training samples, i.e., when the latter may contain a signal-like component.
Bidon, Stéphanie +3 more
core +1 more source
Bistatic MIMO Radar Clutter Suppression by Exploiting the Transmit Angle
Leida xuebao, 2014 The transmit angle of bistatic radars can be obtained by introducing Multiple-Input Multiple-Output (MIMO) radar techniques. The Three-Dimensional (3D) clutter spectra, that is, the transmit angle, receive angle, and Doppler frequency, are introduced ...
Li Jun +3 more
doaj +1 more source
IET Radar, Sonar & Navigation, 2021 Bistatic airborne radar has excellent performance due to the separate transmitter and receiver, but its clutter distribution is usually non‐stationary, which causes the performance of the traditional Space time adaptive processing (STAP) method to fail ...
Yuanyi Xiong, Wenchong Xie
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Clutter Mitigation in Space-based Early Warning Radar Using a Convolutional Neural Network
Leida xuebao, 2022 Moving target indication using space-based early warning radar is important in military applications. For the space-based early warning radar, complicated non-stationary clutter characteristics are induced due to the high-speed movement of the radar ...
Keqing DUAN +3 more
doaj +1 more source