Results 11 to 20 of about 4,959 (205)
MIMO radar space–time adaptive processing using prolate spheroidal wave functions [PDF]
IEEE Transactions on Signal Processing, 2008 In the traditional transmitting beamforming radar system, the transmitting antennas send coherent waveforms which form a highly focused beam. In the multiple-input multiple-output (MIMO) radar system, the transmitter sends noncoherent (possibly ...
Chun-yang Chen +2 more
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IEEE Access, 2017 An efficient and training-sample-reducing space-time adaptive processing (STAP) algorithm based on sparse representation for ground clutter suppression in airborne radar is proposed in this paper. First of all, the principle and problems of sample matrix
Yiduo Guo, Guisheng Liao, Weike Feng
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Partially Adaptive STAP Algorithm Approaches to Functional MRI [PDF]
, 2009 In this work, the architectures of three partially adaptive STAP algorithms are introduced, one of which is explored in detail, that reduce dimensionality and improve tractability over fully adaptive STAP when used in construction of brain activation ...
Holland, S. K. +4 more
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Reduced-Rank STAP Schemes for Airborne Radar Based on Switched Joint Interpolation, Decimation and Filtering Algorithm [PDF]
, 2010 In this paper, we propose a reduced-rank space-time adaptive processing (STAP) technique for airborne phased array radar applications. The proposed STAP method performs dimensionality reduction by using a reduced-rank switched joint interpolation ...
de Lamare, R.C., Fa, R., Wang, L.
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IMPROVE THE SAFETY OF AIR TRANSPORT, ESPECIALLY IN MILITARIZED TERRAIN, BY USE OF SIDE LOOKING AIRBORNE RADAR AND SPACE TIME ADAPTIVE PROCESSING [PDF]
Scientific Journal of Silesian University of Technology. Series TransportThe paper explores the potential to enhance aviation safety, particularly in militarized regions, by outfitting aircraft with Side Looking Airborne Radar (SLAR) and employing space-time adaptive processing (STAP) algorithms.
Błażej ŚLESICKI +2 more
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Knowledge-Aided STAP Using Low Rank and Geometry Properties [PDF]
, 2013 This paper presents knowledge-aided space-time adaptive processing (KA-STAP) algorithms that exploit the low-rank dominant clutter and the array geometry properties (LRGP) for airborne radar applications.
de Lamare, Rodrigo C. +3 more
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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
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Multidimensional Low-Rank Filter based on the AU-HOSVD for MIMO STAP [PDF]
, 2013 International audienceWe propose in this paper a new low rank filter for MIMO STAP (Multiple Input Multiple Output Space Time Adaptive Processing) based on the AU-HOSVD (Alternative Unfolding Higher Order Singular Value Decomposition). This decomposition
Boizard, Maxime +5 more
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Knowledge-Aided Multichannel Adaptive SAR/GMTI Processing: Algorithm and Experimental Results
EURASIP Journal on Advances in Signal Processing, 2010 The multichannel synthetic aperture radar ground moving target indication (SAR/GMTI) technique is a simplified implementation of space-time adaptive processing (STAP), which has been proved to be feasible in the past decades.
Di Wu, Daiyin Zhu, Zhaoda Zhu
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