Results 51 to 60 of about 356 (136)
Sensors, 2020 To solve the problem of dwell time management for multiple target tracking in Low Probability of Intercept (LPI) radar network, a Nash bargaining solution (NBS) dwell time allocation algorithm based on cooperative game theory is proposed.
Chenyan Xue, Ling Wang, Daiyin Zhu
doaj +1 more source
IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.This paper investigates the phase‐frequency response characteristics of frequency diverse array (FDA) radar on airborne warning and control system (AWACS) platforms and its deception mechanism against interferometric direction finders, aiming to address the vulnerability of AWACS to precise interception by passive direction‐finding systems due to poor ...
Jing Zhang, Bo Wang, Haowei Zhang
wiley +1 more source
IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.This paper proposes a radar intra‐pulse modulation recognition method based on the transformer architecture, named RBViT. By designing multi‐scale input embeddings and introducing a novel position encoding based on radial basis functions (RBF), the algorithm significantly enhances recognition performance under a low signal‐to‐noise ratio (SNR ...
Baihong Chen, Wei Wang, Bin Rao
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Classifying low probability of intercept radar using fuzzy artmap [PDF]
, 2012 Dissertation (MEng)--University of Pretoria, 2012.Electronic Support (ES) operations concern themselves with the ability to search for, intercept, track and classify threat emitters.
core
Radar signal recognition exploiting information geometry and support vector machine
IET Signal Processing, 2023 Aiming at the recognition of low‐probability‐of‐intercept (LPI) radar signals, a support vector machine (SVM)‐based algorithm is proposed, where the information geometry theory is utilised to optimise the kernel function of the SVM.
Yuqing Cheng, Muran Guo, Limin Guo
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IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.To address the challenge of low probability of intercept (LPI) radar signal recognition under low SNR conditions, this paper proposes a unified framework integrating SNR‐guided generative restoration with an active recurrent glance‐and‐focus classification strategy. By leveraging an RA‐UnetJiT restoration network and a deep reinforcement learning agent,
Yu Cheng +4 more
wiley +1 more source
Antenna Array Beamforming for Low Probability of Intercept Radars [PDF]
, 2013 A radar system's focus on low probability of intercept (LPI) performance has become increasingly important as systems designed for electronic support measures (ESM) and electronic counter measures (ECM) continue to become more prevalent.
Goad, Daniel
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IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.To address the underdetermined blind source separation problem of single‐channel multi‐component linear frequency modulation (LFM) signals, the separation task is reformulated as a semantic segmentation problem on time‐frequency spectrograms. A multi‐feature enhanced Swin‐Transformer network, integrating an optimised convolutional block attention ...
Weifeng Sun +4 more
wiley +1 more source
Detection and jamming low probability of intercept (LPI) radars [PDF]
, 2006 An increasing number of LPI radars are integrated into integrated air defense systems (IADS) and modern platforms and weapons, such as anti-ship missiles, and littoral weapon systems.
Denk, Aytug.
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Phenomenology of Low Probability of Intercept Synthetic Aperture Radar via Frank Codes [PDF]
, 2014 The article of record as published may be found at http://dx.doi.org/10.1117/12.2048638This paper investigates techniques for using low probability of intercept (LPI) modulation techniques for forming synthetic aperture radar (SAR) imagery.
Romero, Ric A. +5 more
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