Results 81 to 90 of about 2,644,425 (233)

Deception mechanisms of FDA‒AWACS against passive monopulse angle measurements

IET Radar, Sonar &Navigation, Volume 18, Issue 11, Page 2264-2280, November 2024.
By combining frequency diverse array radar with early warning aircraft platforms, the combat effectiveness of early warning aircraft can be improved. The authors focus on the deception ability of frequency diverse array early warning aircraft to passive direction finding and positioning technology.
Bo Wang, Gang Wang, Yonglin Li, Rennong Yang, Yu Zhao   +4 more
wiley   +1 more source

Overview of Radar Jamming Waveform Design

Remote Sensing
Radar jamming waveform design is a vital part of radar jamming. Over seven to eight decades of evolution, the field has transitioned from noise signal design to coherent jamming signal design, resulting in a multitude of complex jamming styles capable of
Yu Pan, Didi Xie, Yurui Zhao, Xiang Wang, Zhitao Huang   +4 more
doaj   +1 more source

Analysis of Deception Jamming Effects on FM Radio based Passive Radar [PDF]

, 2022
Kyu‐Ha Song, Hyungyu Kwak, Sanhae Kim, Inhwan Jeong, Jonghwan Lee, Byeongnam Lee   +5 more
openalex   +1 more source

Main lobe deceptive jamming suppression based on blind source separation and energy detection for monopulse radar

IET Radar, Sonar &Navigation, Volume 18, Issue 11, Page 2170-2181, November 2024.
The authors proposed a main lobe deceptive jamming suppression method for monopulse radar based on BSS and energy detection, which can achieve interference suppression while accurately estimating the angle of the real target. Abstract Main lobe deceptive jamming always causes the serious degradation of signal detection ability and angle measurement ...
Zhenhua Liu, Wei Liang, Ning Fu, Liyan Qiao, Jun Zhang   +4 more
wiley   +1 more source

A suppression method against range deception jamming based on homologous localisation test

The Journal of Engineering, 2019
In this article, an anti-jamming technique based on homologous localisation test in multi-static radar system is proposed to counter multi-range-false-target deception jamming.
Datong Huang, Guolong Cui, Mengmeng Ge, Xianxiang Yu, Lingjiang Kong   +4 more
doaj   +1 more source

Using lightweight denoising network to suppress multiple barrage jamming in range‐Doppler domain

IET Radar, Sonar &Navigation, Volume 18, Issue 11, Page 2308-2324, November 2024.
To address the issue of single‐channel radar resisting multiple barrage jamming, this paper proposes a novel jamming suppression framework based on range‐Doppler domain denoising. It also proposes a deep denoising network with a lightweight multi‐resolution encoding and decoding structure.
Minghua Wu, Yupei Lin, Dongyang Cheng, Dan Song, Bin Rao, Wei Wang   +5 more
wiley   +1 more source

Cover Chirp Jamming: Hybrid Jamming--Deception Attack on FMCW Radar and Its Countermeasure [PDF]

, 2023
Shoei Nashimoto, Tomoyuki Nagatsuka
openalex   +1 more source

Efficient multi‐perspective jamming feature perception network for suppressive jamming recognition with limited training samples

IET Radar, Sonar &Navigation, Volume 18, Issue 11, Page 2333-2348, November 2024.
The authors propose a jamming recognition method based on an efficient multi‐perspective jamming feature perception network. The method extracts features from the time‐frequency spectrum of jamming signals from various perspectives, including local, multi‐scale, cross‐space, and global, to obtain more robust and discriminative jamming features ...
Minghua Wu, Yupei Lin, Dongyang Cheng, Xiaohai Zou, Bin Rao, Wei Wang   +5 more
wiley   +1 more source

A rapid recognition method for radar active jamming based on the Hybrid 3_CNN‐Transformer model

IET Radar, Sonar &Navigation, Volume 18, Issue 11, Page 2377-2395, November 2024.
To enhance radar systems' adaptability to complex jamming environments and real‐time response capability under small sample data scenarios, this investigation proposes a rapid jamming recognition method based on the Hybrid 3_CNN‐Transformer model. This method combines the strengths of CNN and Transformers, capturing local features of jamming signals in
Jingjing Wei, Lei Yu, Yinsheng Wei, Rongqing Xu   +3 more
wiley   +1 more source

Multi-stage Jamming Attacks Detection using Deep Learning Combined with Kernelized Support Vector Machine in 5G Cloud Radio Access Networks [PDF]

arXiv, 2020
In 5G networks, the Cloud Radio Access Network (C-RAN) is considered a promising future architecture in terms of minimizing energy consumption and allocating resources efficiently by providing real-time cloud infrastructures, cooperative radio, and centralized data processing.
arxiv