Modulation Recognition of Low-SNR UAV Radar Signals Based on Bispectral Slices and GA-BP Neural Network
In this paper, we address the challenge of low recognition rates in existing methods for radar
signals from unmanned aerial vehicles (UAV) with low signal-to-noise ratios (SNRs). To …
signals from unmanned aerial vehicles (UAV) with low signal-to-noise ratios (SNRs). To …
LPI radar signal design resistant to identification by ESM systems
We consider the design of a low probability of intercept (LPI) radar signal that is resistant to
identification by an electronic support measure (ESM) system. We assume that the ESM …
identification by an electronic support measure (ESM) system. We assume that the ESM …
Lightweight deep neural network for radio frequency interference detection and segmentation in synthetic aperture radar
F Zheng, Z Zhang, D Zhang - Scientific Reports, 2024 - nature.com
Radio frequency interference (RFI) poses challenges in the analysis of synthetic aperture
radar (SAR) images. Existing RFI suppression systems rely on prior knowledge of the …
radar (SAR) images. Existing RFI suppression systems rely on prior knowledge of the …
LPI Sequences Optimization Method against Summation Detector Based on FFT Filter Bank
Q Liu, F Guo, K Xiong, Z Liu, W Hu - Remote Sensing, 2024 - mdpi.com
Waveform design is a crucial factor in electronic surveillance (ES) systems. In this paper, we
introduce an algorithm that designs a low probability of intercept (LPI) radar waveform. Our …
introduce an algorithm that designs a low probability of intercept (LPI) radar waveform. Our …
Low probability of interception radar overlapping signal modulation recognition based on an improved you-only-look-once version 8 network
H Ma, Y Liao, C Ren - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Low probability of interception (LPI) radar is widely used in modern electronic warfare. With
the increased radiation sources, multiple signals will arrive simultaneously. The traditional …
the increased radiation sources, multiple signals will arrive simultaneously. The traditional …
Muti-label Deep Learning-Based Lightweight Radar Compound Jamming Recognition Method
With the rapid development of electronic countermeasure technology, many active jamming
compound scenes pose severe challenges to traditional radar, synthetic aperture radar …
compound scenes pose severe challenges to traditional radar, synthetic aperture radar …
Parameter Extraction Method of Overlapping Radar Signals Using Modulation Recognition-Guided Semantic Segmentation
W Huo, Y Luo, H Wang, J Pei, Y Zhang… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Parameter extraction of radar signals is an important but challenging task in electronic
warfare. In the modern electromagnetic environment, the radiation sources greatly increase …
warfare. In the modern electromagnetic environment, the radiation sources greatly increase …
Efficient Radar-Target Assignment in Low Probability of Intercept Radar Networks: A Machine-Learning Approach
H Amiriara, SMH Andargoli… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
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. The multi-radar to …
is necessary to find the optimal assignment of distributed radars to targets. The multi-radar to …
Robust Parameter Measurement of PSK Signals Based on FRI Sampling and Structured Sparsity
Phase-shift keying (PSK) signals exist widely in radar and communications systems.
However, in noncooperative scenarios, measuring PSK signals demands a wide range of …
However, in noncooperative scenarios, measuring PSK signals demands a wide range of …
Class Information Guided Reconstruction for Automatic Modulation Open-Set Recognition
Z Zhang, M Zhu, J Liu, Y Li, S Wang - arXiv preprint arXiv:2312.13023, 2023 - arxiv.org
Automatic Modulation Recognition (AMR) is a crucial technology in the domains of radar
and communications. Traditional AMR approaches assume a closed-set scenario, where …
and communications. Traditional AMR approaches assume a closed-set scenario, where …