Results 21 to 30 of about 750 (192)
Densely-Accumulated Convolutional Network for Accurate LPI Radar Waveform Recognition
2021 IEEE Global Communications Conference (GLOBECOM), 2021 Abstract This paper presents a deep learning-based method to automatically recognize low probability of intercept (LPI) radar waveforms against diversified jamming attacks. Concretely, an efficient convolutional neural network (CNN) architecture, namely Densely-Accumulated Network (DANet), is introduced to learn the time-frequency representation ...
Thien Huynh-The +6 more
openaire +3 more sources
Defence Technology, 2023 Nyquist Folding Receiver (NYFR) is a perceptron structure that realizes a low probability of intercept (LPI) signal analog to information. Aiming at the problem of LPI radar signal receiving, the time domain, frequency domain, and time-frequency domain ...
Tao Wan, Kai-li Jiang, Hao Ji, Bin Tang
doaj +1 more source
Optimal Time-Frequency Distribution Selection for LPI Radar Pulse Classification [PDF]
, 2020 The work presented in this paper shows the performance of various time-frequency distributions when gathering ELectronic INTelligence (ELINT) from an electromagnetic environment that contains transmissions from radars operating in a Low Probability of ...
Ben Willetts +5 more
core +1 more source
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
doaj +1 more source
InVEST Model and Landscape Indices Reveal Habitat Quality Degradation From Land Use Changes in South China. [PDF]
Ecol EvolEvaluated the habitat quality changes in Hunan Province from 2000 to 2023. Applying landscape index to evaluate the habitat quality changes. Quantified the contribution of different land use and land cover change (LULC) changes to habitat quality. Spatial correlation is used to analyze the relationship between LULC and habitat quality.
Wang X, Liu G, Jia H.
europepmc +2 more sources
Radar signal recognition based on triplet convolutional neural network
EURASIP Journal on Advances in Signal Processing, 2021 Recently, due to the wide application of low probability of intercept (LPI) radar, lots of recognition approaches about LPI radar signal modulations have been proposed.
Lutao Liu, Xinyu Li
doaj +1 more source
LPI Radar Waveform Recognition Based on Multi-Resolution Deep Feature Fusion
IEEE Access, 2021 Deep neural networks are used as effective methods for the Low Probability of Intercept (LPI) radar waveform recognition. However, existing models' performance degrades seriously at low Signal-to-Noise Ratios (SNRs) because the effective features ...
Xue Ni +4 more
doaj +1 more source
Sensors, 2020 Radar network systems have been demonstrated to offer numerous advantages for target tracking. In this paper, a low probability of intercept (LPI)-based joint dwell time and bandwidth optimization strategy is proposed for multi-target tracking in a radar
Lintao Ding +3 more
doaj +1 more source
IEEE Open Journal of the Communications Society, 2023 To achieve low probability of intercept (LPI) in radar networks for multiple target detection, it is necessary to find the optimal assignment of distributed radars to targets.
Hamid Amiriara +2 more
doaj +1 more source
Cladistic Relationships and Landscape Genetics of the Endangered Indian Peacock Softshell Turtle <i>Nilssonia hurum</i> (Gray, 1830): Implications for Strategic Conservation Planning. [PDF]
Ecol EvolThis study provides the first mitogenome of the endangered Peacock Softshell Turtle (Nilssonia hurum), revealing its evolutionary relationships and moderate genetic diversity across river basins. Species distribution modeling predicts up to 85% habitat loss under future climate scenarios, alongside severe declines in functional connectivity and rising ...
Abedin I +7 more
europepmc +2 more sources