Results 71 to 80 of about 619,289 (184)

Research on Phase Characteristics of FDA‐AWACS and Direction Finding Mechanism Based on Anti‐Phase Method

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

RBViT: Enhanced Versatile Representations and Noise Resistance Vision Transformer for Modulation Recognition

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
wiley   +1 more source

Netted LPI radars [PDF]

, 2011
A significant number of Low Probability of Intercept (LPI) radars are used in various military applications, from guided weapons (such anti-ship missile), to large platforms (aircrafts, ships), to large systems (Integrated Air Defense Systems - IADS ...
Menychtas, Charalampos.
core   +2 more sources

Robust LPI Radar Signal Recognition via SNR‐Guided Generative Restoration and Active Recurrent Glance‐and‐Focus

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, Jiantao Wang, Jie Huang, Yiming Li, Dexiu Hu   +4 more
wiley   +1 more source

The radar signature of the Wind Lens: a less disruptive wind turbine? [PDF]

, 2012
We study the radar signature of a new type of wind turbine, named the Wind Lens. This design includes a flanged shroud around the turbine which concentrates the wind flow past the turbine blades and hence improves the efficiency.
H. Griffiths, Griffiths, Hugh D., T. Matsuura, A. Balleri, A. Al-Armaghany, Al-Armaghany, A., Tong, Kenneth, K. Tong, Balleri, Alessio, Matsuura, Takashi   +9 more
core   +1 more source

Automatic LPI Radar Signal Sensing Method Using Visibility Graphs

IEEE Access, 2020
The issue of the low probability of intercept (LPI) radar signal sensing has received considerable attention. Furthermore, the development of military technology further increased demand for it in future electronic warfare (EW).
Tao Wan, Kaili Jiang, Yanli Tang, Ying Xiong, Bin Tang   +4 more
doaj   +1 more source

Single‐Channel Multi‐Component Linear Frequency Modulation Signal Blind Separation Based on Multi‐Feature Enhanced Swin‐Transformer

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, Xinyue Wang, Chao Zhang, Peng Zhang, Qi Liu   +4 more
wiley   +1 more source

Research on Amplitude Characteristics of FDA‐AWACS and Direction Finding Mechanism of Anti‐Beam Search Method

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
This paper addresses the poor survivability of AWACS against passive positioning in electromagnetic countermeasures by investigating the amplitude–frequency response and antibeam search direction‐finding deception mechanism of FDA‐based AWACS, with the goal of offering theoretical support and technical solutions for antipassive direction finding.
Jing Zhang, Bo Wang, Haowei Zhang
wiley   +1 more source

The practical aspect of using the artificial intellectual technology for building a multidimentional function CFAR for smart-handled LPI radar [PDF]

, 2020
The problem of the development of modern mobile smart-handled LPI radars using artificial intelligence technologies, the main difference of which is the construction of the CFAR function, which takes into account the influence of external and internal ...
Tovstenko, L.M., Kosovets, M.A.
core  

Joint Design of LPI Transmit Waveform and Receive Beamforming Based on Neural Networks for FDA-MIMO

Leida xuebao
Traditional Low Probability of Intercept (LPI) array radars that use phased array or Multiple-Input Multiple-Output (MIMO) systems face limitations in terms of controlling radiation energy only at specific angles and cannot achieve energy control over ...
Deshun LIU, Deping XIA, Lu CHEN, Yanfeng MA   +3 more
doaj   +1 more source