Results 81 to 90 of about 4,959 (205)
Element‐localized Doppler STAP (Space Time Adaptive Processing) for clutter suppression in automotive forward‐looking RADAR [PDF]
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.
openaire +1 more source
Une nouvelle décomposition tensorielle orthogonale, l'Alternative Unfolding HOSVD. Application au STAP Polarimétrique [PDF]
National audienceDans cet article, on propose d'étendre les méthodes rang faible de traitement d'antenne à des cas multidimensionnelles. Deux types de méthodes peuvent être envisagés : l'approche vectorielle et l'approche tensorielle.
Boizard, Maxime +3 more
core +1 more source
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
wiley +1 more source
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
doaj +1 more source
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
wiley +1 more source
Clutter rank estimation for the multistage Wiener filter
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
wiley +1 more source
Space-Time Adaptive Processing for Airborne Radars With Space-Time Coprime Sampling Structure
Coprime arrays and coprime time samplers have been receiving attractive attention recently due to their advantages of large apertures and achievable degrees of freedom with low cost.
Xiaoye Wang +4 more
doaj +1 more source
Sparse Bayesian learning using hierarchical synthesis prior for STAP
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
Intent Inference and Syntactic Tracking with GMTI Measurements
In conventional target tracking systems, human operators use the estimated target tracks to make higher level inference of the target behaviour/intent. This paper develops syntactic filtering algorithms that assist human operators by extracting spatial ...
Balaji, Bhashyam +2 more
core +1 more source
Exploiting persymmetry for JDL-STAP
Joint domain localisation (JDL) is a popular reduced-dimension space-time adaptive processing (STAP) technique for clutter suppression in an air-borne radar system.
Sha Wang +5 more
doaj +1 more source

