Results 71 to 80 of about 4,896 (201)
Progress In Electromagnetics Research C, 2013 Space-Time Adaptive Processing (STAP) algorithm has recently been used in Passive Bi-static Radars (PBR) because it removes the clutter and non-cooperative transmitter efiectively making the target detection easy in harsh environments like air-ground. Real- time implementation of STAP is a very challenging task as it is computationally-intensive, time ...
Zia Ul Mahmood +3 more
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Electronics Letters, Volume 61, Issue 1, January/December 2025.The method expands sample‐screening dimensions through multidimensional information‐weighted fusion, enabling the selection of more suitable sample sets. Compared with the GIP and knowledge‐aided clutter suppression methods, our proposed method exhibits excellent robustness in different clutter environments and achieves improved clutter‐suppression ...
Chenran Gao +4 more
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IET Microwaves, Antennas &Propagation, Volume 19, Issue 1, January/December 2025.This paper investigates mutual coupling reduction in a five‐element antenna array with constrained aperture dimensions, focusing on polarisation‐insensitive absorptive wall‐type metamaterials for enhanced anti‐jamming performance. The absorptive‐metamaterials‐enhanced adaptive array offers significant advantages for miniaturised platforms and is well ...
Guanjun Wang +4 more
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EURASIP Journal on Advances in Signal Processing, 2018 Traditional space-time adaptive processing (STAP) usually needs many independent and identically distributed (i.i.d) training datasets for estimating clutter covariance matrix (CCM).
Wei Wang +3 more
doaj +1 more source
Clutter rank estimation for the multistage Wiener filter
IET Radar, Sonar &Navigation, Volume 19, Issue 1, January/December 2025.The authors propose an algorithm that determines the rank of the sea clutter and relates it to the number of stages in the multistage Wiener filter. The algorithm presented is formulated as a model order estimation problem that utilises the minimum description length (MDL).
Rachel Gray +3 more
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Leida xuebao, 2017 Used to suppress strong clutter and jamming in airborne radar data, Space Time Adaptive Processing (STAP) is a multidimensional adaptive filtering technique that simultaneously combines signals from elements of an antenna array and multiple pulses of ...
Xie Wenchong +2 more
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Sparse Bayesian learning using hierarchical synthesis prior for STAP
IET Radar, Sonar &Navigation, Volume 19, Issue 1, January/December 2025.In this paper, the authors propose a novel SBL algorithm using hierarchical synthesis prior and apply it to STAP technology to improve clutter suppression performance under limited sample conditions. In addition, in order to reduce the computational complexity, the authors propose a local space–time dictionary construction method.
Junxiang Cao, Tong Wang, Weichen Cui
wiley +1 more source
International Journal of Antennas and Propagation, 2018 Degree of freedom (DOF) of clutter in the reduced-dimension (RD) domain, which is called local DOF (LDOF), is of great importance for RD MIMO-STAP (space-time adaptive processing for multiple-input multiple-output radar) algorithms.
Yiduo Guo, Jian Gong, Yu Xiao
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Element‐localized Doppler STAP (Space Time Adaptive Processing) for clutter suppression in automotive forward‐looking RADAR [PDF]
Electronics and Communications in Japan (Part I: Communications), 2006 AbstractIn forward‐looking radars such as automotive radars, it is necessary to suppress the reflected undesirable signal (clutter) from such objects as the ground surface (especially hills), guard rails, and buildings, in order to detect moving targets ahead.
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IET Radar, Sonar &Navigation, Volume 19, Issue 1, January/December 2025.This paper studies the influences of STAP algorithms on SPP and RTK systematically. Simulation and experiment results show that the STAP algorithms will deteriorate the performances of SPP and RTK. Results of this paper will provide reference for evaluating the performance of the GNSS antenna array anti‐jamming receiver.
Yaoding Wang +3 more
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