Results 21 to 30 of about 4,896 (201)

Dense false target jamming suppression for airborne superimposed stepped frequency radar

open access: yesIET Radar, Sonar & Navigation, 2021
Traditional space‐time adaptive processing (STAP) suffers from severe performance degradation in dense false target jamming scenarios, especially mainlobe deceptive jamming.
Wei Chen   +4 more
doaj   +1 more source

Polarisation-space-time adaptive processing for heterogeneous clutter suppression of airborne-phased array radar

open access: yesThe Journal of Engineering, 2019
Conventional space-time adaptive processing (STAP) achieves clutter suppression by combining spatial signals and the temporal pulses. However, extreme slow-moving target cannot be effectively detected by space-time joint filtering in ambiguous and non ...
Yuze Sun, Jian Yang, Xiaopeng Yang
doaj   +1 more source

Robust Multiple-Measurement Sparsity-Aware STAP with Bayesian Variational Autoencoder

open access: yesRemote Sensing, 2022
Due to the shortage of independent and identically distributed (i.i.d.) training samples, space−time adaptive processing (STAP) often suffers remarkable performance degradation in the heterogeneous clutter environment.
Chenxi Zhang   +6 more
doaj   +1 more source

Partially Adaptive STAP Algorithm Approaches to Functional MRI [PDF]

open access: yes, 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
core   +2 more sources

Knowledge-Aided STAP Using Low Rank and Geometry Properties [PDF]

open access: yes, 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
core   +2 more sources

IMPROVE THE SAFETY OF AIR TRANSPORT, ESPECIALLY IN MILITARIZED TERRAIN, BY USE OF SIDE LOOKING AIRBORNE RADAR AND SPACE TIME ADAPTIVE PROCESSING [PDF]

open access: yesScientific Journal of Silesian University of Technology. Series Transport
The 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
doaj   +1 more source

Multidimensional Low-Rank Filter based on the AU-HOSVD for MIMO STAP [PDF]

open access: yes, 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
core   +4 more sources

Non‐stationary clutter suppression method for bistatic airborne radar based on adaptive segmentation and space–time compensation

open access: yesIET 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
doaj   +1 more source

Clutter Mitigation in Space-based Early Warning Radar Using a Convolutional Neural Network

open access: yesLeida 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

Knowledge-Aided Multichannel Adaptive SAR/GMTI Processing: Algorithm and Experimental Results

open access: yesEURASIP 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
doaj   +2 more sources

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