Results 61 to 70 of about 939 (214)
Clutter Suppression Approach for End-Fire Array Airborne Radar Based on Adaptive Segmentation
End-fire array antenna is a kind of special radar antenna with beam pointing perpendicular to the normal direction of the array. Because of its low profile and directional radiation characteristics, it is especially suitable for blind zone compensation ...
Yongwei Li +3 more
doaj +1 more source
Interrupted-Sampling and Non-Uniform Periodic Repeater Jamming against mDT-STAP System
The difference between sampling data and detection data can degrade the performance of space-time adaptive processing (STAP). A jamming algorithm with a non-uniform periodic repeater based on interrupted-sampling is proposed against the reduced ...
Jia Li, Xiaohu Duan, Jiyang Li, Peng Bai
core +1 more source
Joint 2‐D LFM Modulation and Mismatched Filter Design in Dual‐Function Radar‐Communication System
This paper proposes a joint 2‐D LFM modulation and mismatched filtering design for military‐grade dual‐function radar‐communication systems. The novel scheme modulates data onto both the initial frequency and chirp rate of LFM pulses, boosting data rates whilst preserving the constant‐envelope property critical for high‐power transmission.
Kehao Wang +5 more
wiley +1 more source
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
openaire +1 more source
Covariance matrix estimation with heterogeneous samples [PDF]
We consider the problem of estimating the covariance matrix Mp of an observation vector, using heterogeneous training samples, i.e., samples whose covariance matrices are not exactly Mp.
Bidon, Stéphanie +2 more
core +1 more source
Fast Variational Bayesian Inference for Space-Time Adaptive Processing
Space-time adaptive processing (STAP) approaches based on sparse Bayesian learning (SBL) have attracted much attention for the benefit of reducing the training samples requirement and accurately recovering sparse signals. However, it has the problem of a
Xinying Zhang, Degen Wang, Tong Wang
core +1 more source
Traditional ambiguity resolution methods relying on local decision mechanisms and idealised numerical rules are prone to performance degradation in complex scenarios characterised by low SNR and dense residual clutter. To address this limitation, this paper proposes a physics‐guided spatio‐temporal transformer (PG‐STT) algorithm, where physically ...
Yuxin Zuo +3 more
wiley +1 more source
An Expert system approach to bistatic space-time adaptive processing
Space-Time Adaptive Processing (STAP) is a modern radar signal processing technique that leverages additional Degrees of Freedom (DoF) to cancel clutter from a background environment and produce detections of slow-moving targets.
Burwell, Alex
core
Clutter rejection for MTI radar using a single antenna and a long integration time [PDF]
Moving Target Indicators (MTI) are airborne radar systems designed to detect and track moving vehicles or aircrafts. In this paper, we address the problem of detecting hazardous collision targets to avoid them.
Jean-Yves Tourneret +5 more
core +1 more source
ABSTRACT In this article, we contextualize research on evaluator education and training (RoEET) within its historical context by grounding it in a RoE framework posed by Mark and a landscape analysis by King and Ayoo. We then link RoEET with contemporary views on philosophical, applied, and empirical dimensions of the scholarship of teaching and ...
Leah C. Neubauer +3 more
wiley +1 more source

