Cognitive FDA‐MIMO radar for LPI transmit beamforming
IET Radar, Sonar & Navigation, 2017 Active radar is vulnerable to illegal eavesdroppers due to its high‐gain beam‐scanning signals. To reduce active radar visibility and enhance its low probability of intercept (LPI) capability, this study proposes a cognitive LPI transmit beamforming scheme using frequency diverse array (FDA) and multiple‐input multiple‐output (MIMO) hybrid array ...
Jie Xiong +3 more
openaire +3 more sources
Automatic LPI Radar Signal Sensing Method Using Visibility Graphs [PDF]
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 +4 more
doaj +2 more sources
Information-Theoretic Optimal Radar Waveform Selection With Multi-Sensor Cooperation for LPI Purpose
IEEE Access, 2022 For the complex battlefield electromagnetic environment, low probability of interception (LPI) performance has become an indispensable ability for modern radars.
Jun Chen, Fei Wang, Jianjiang Zhou
doaj +1 more source
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
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
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
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
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 Signals Modulation Recognition Based on ACDCA-ResNeXt
IEEE Access, 2023 For low probability of intercept (LPI) radar waveform identification accuracy (ACC) problem at low Signal-to-Noise Ratios (SNRs), an approach based on time-frequency analysis (TFA) and Asymmetric Dilated Convolution Coordinate Attention Residual networks
Xudong Wang +5 more
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