Results 21 to 30 of about 2,705,955 (242)

On the anti‐intercept features of noise radars [PDF]

open access: yesIET Radar, Sonar &Navigation, Volume 18, Issue 7, Page 1014-1035, July 2024.
Robustness against Electronic Warfare/Electronic Defence attacks represents an important advantage of Noise Radar Technology (NRT). An evaluation of the related Low Probability of Detection (LPD) and of Intercept (LPI) is presented for Continuous ...
Gabriele Pavan, Gaspare Galati
core   +2 more sources

Detection and jamming low probability of intercept (LPI) radars

open access: closed, 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. These LPI radars create a requirement for modern armed forces to develop new techniques, strategies, and equipment.
Aytug Denk
  +4 more sources

Extremely High Frequency (EHF) Low Probability of Intercept (LPI) communication applications

open access: closed, 1990
A Commander-in-Chief U.S. Pacific Fleet letter to the Chief of Naval Operations, dated September 12, 1989, contains a Command and Control Studies and Analysis Program (C2STAP) proposal for EHF line-of-sight communications. The purpose of this thesis is to address several of the issues raised by the C2STAP proposal by providing: an analysis of the ...
Robert W. Belcher
openaire   +2 more sources

Counter-Interception and Counter-Exploitation Features of Noise Radar Technology

open access: yesRemote Sensing, 2021
In defense applications, the main features of radars are the Low Probability of Intercept (LPI) and the Low Probability of Exploitation (LPE). The counterpart uses more and more capable intercept receivers and signal processors thanks to the ongoing ...
Gaspare Galati   +3 more
doaj   +1 more source

Joint Route Optimization and Multidimensional Resource Management Scheme for Airborne Radar Network in Target Tracking Application [PDF]

open access: yes, 2021
In this article, we investigate the problem of joint route optimization and multidimensional resource management (JRO-MDRM) for an airborne radar network in target tracking application.
Dai, Xiangrong   +4 more
core   +2 more sources

Collaborative transmit resource scheduling and waveform selection for target tracking in multistatic radar system

open access: yesIET Radar, Sonar & Navigation, 2021
This paper proposes a collaborative transmit resource scheduling and waveform selection (CTRSWS) strategy for target tracking in multistatic radar system which consists of one transmitter and an arbitrary number of receivers.
Yijie Wang   +3 more
doaj   +1 more source

Joint Transmit Resource Management and Waveform Selection Strategy for Target Tracking in Distributed Phased Array Radar Network [PDF]

open access: yes, 2021
In this paper, a joint transmit resource management and waveform selection (JTRMWS) strategy is put forward for target tracking in distributed phased array radar network.
Salous, Sana   +4 more
core   +2 more sources

LPI‐based cooperative tactic for satellite communication uplink signal accompanied by directed and power limited jamming

open access: yesIET Signal Processing, 2022
To protect the satellite communication uplink signal (SCUS) from being intercepted by an eavesdropper, this study proposes several tactics to ensure SCUS being in the low probability of intercept (LPI) state.
Fei Wang   +4 more
doaj   +1 more source

Densely-Accumulated Convolutional Network for Accurate LPI Radar Waveform Recognition [PDF]

open access: yes, 2022
This paper presents a deep learning-based method to automatically recognize low probability of intercept (LPI) radar waveforms against diversified jamming attacks.
Benevides da Costa, Daniel   +6 more
core   +1 more source

Low-Interception Waveform: To Prevent the Recognition of Spectrum Waveform Modulation via Adversarial Examples [PDF]

open access: yesURSI GASS, 2021, pp. 1-4, 2022
Deep learning is applied to many complex tasks in the field of wireless communication, such as modulation recognition of spectrum waveforms, because of its convenience and efficiency. This leads to the problem of a malicious third party using a deep learning model to easily recognize the modulation format of the transmitted waveform.
arxiv   +1 more source

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