Spatial Information-Theoretic Optimal LPI Radar Waveform Design [PDF]
Entropy, 2022 In this paper, the design of low probability of intercept (LPI) radar waveforms considers not only the performance of passive interception systems (PISs), but also radar detection and resolution performance. Waveform design is an important considerations
Jun Chen +2 more
exaly +6 more sources
LPI Radar Waveform Recognition Based on Time-Frequency Distribution [PDF]
Sensors, 2016 In this paper, an automatic radar waveform recognition system in a high noise environment is proposed. Signal waveform recognition techniques are widely applied in the field of cognitive radio, spectrum management and radar applications, etc. We devise a
Ming Zhang, Lutao Liu, Ming Diao
exaly +7 more sources
A Novel Sensor Selection and Power Allocation Algorithm for Multiple-Target Tracking in an LPI Radar Network [PDF]
Sensors, 2016 Radar networks are proven to have numerous advantages over traditional monostatic and bistatic radar. With recent developments, radar networks have become an attractive platform due to their low probability of intercept (LPI) performance for target ...
Ji She, Fei Wang, Jianjiang Zhou
exaly +4 more sources
LPI Radar Waveform Recognition Based on Features from Multiple Images [PDF]
Sensors, 2020 Detecting and classifying the modulation type of the intercepted noisy LPI (low probability of intercept) radar signals in real-time is a necessary survival technique in the electronic intelligence systems.
Zhiyuan Ma +3 more
doaj +2 more sources
Dwell Time Allocation Algorithm for Multiple Target Tracking in LPI Radar Network Based on Cooperative Game [PDF]
Sensors, 2020 To solve the problem of dwell time management for multiple target tracking in Low Probability of Intercept (LPI) radar network, a Nash bargaining solution (NBS) dwell time allocation algorithm based on cooperative game theory is proposed.
Chenyan Xue, Ling Wang, Daiyin Zhu
doaj +2 more sources
LPI Radar Waveform Recognition Based on Neural Architecture Search. [PDF]
Comput Intell Neurosci, 2022 In order to reach the intelligent recognition, the deep learning classifiers adopted by radar waveform are normally trained with transfer learning, where the pretrained convolutional neural network on an external large-scale classification dataset (e.g., ImageNet) is used as the backbone.
Ma Z +5 more
europepmc +4 more sources
An Investigation of LPI Radar Waveforms Classification in RoF Channels [PDF]
IEEE Access, 2019 Intensive research has been developed to either design or classify low probability of intercept (LPI) radar signals. These types of signals are used in different sensitive electronic warfare applications such as electronic support, electronic attack, and
Turki Alrubeaan +5 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
exaly +3 more sources
Automatic LPI radar waveform recognition of overlapping signals based on vision language model [PDF]
Scientific ReportsLow probability of intercept (LPI) microwave waveforms are commonly utilized in multiple radar systems. Identifying precisely the modulation formats of LPI waveform is of importance in complex electromagnetic environment.
Pengkun Yang +4 more
doaj +2 more sources
Joint Aperture and Power Allocation Strategy for a Radar Network Localization System Based on Low Probability of Interception Optimization [PDF]
Sensors, 2023 In the process of using the Distributed Radar Network Localization System (DRNLS) further to improve the survivability of a carrier platform, the random characteristics of the system’s Aperture Resource Allocation (ARA) and Radar Cross Section (RCS) are ...
Chenyan Xue, Ling Wang, Daiyin Zhu
doaj +2 more sources