Neural network-based radar signal classification system using probability moment and ApEn
Sign Up to like & getrecommendations! Published in 2018 at "Soft Computing"
DOI: 10.1007/s00500-017-2711-7
Abstract: Most of the existing electronic warfare systems use a threat library to identify radar signals. In this paper, new feature parameters for classifying various types of radar signals are introduced. The conventional method uses frequency,… read more here.
Keywords: system; probability moment; moment apen; radar signal ... See more keywords
An Investigation of LPI Radar Waveforms Classification in RoF Channels
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2938317
Abstract: 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,… read more here.
Keywords: investigation; radar signals; modulation; lpi radar ... See more keywords
LPI Radar Signals Modulation Recognition Based on ACDCA-ResNeXt
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3270231
Abstract: 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 (ACDCA-ResNeXt) is proposed… read more here.
Keywords: acdca resnext; lpi radar; radar signals; radar ... See more keywords
Optimized Masking for MIMO Radar Signals
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2021.3082713
Abstract: Electronic attack devices can interrupt a radar system by emitting jamming signals. This function typically depends on the support from electronic support measure (ESM) devices, which can capture and identify radar signals in the air.… read more here.
Keywords: esm devices; radar signals; adversarial esm; sidelobe level ... See more keywords
Semantic Learning for Analysis of Overlapping LPI Radar Signals
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3242013
Abstract: The increasingly complex radio environment may cause the received low probability of intercept (LPI) radar signals to overlap in time–frequency domains. Analyzing overlapping LPI radar signals requires identifying the modulation type and estimating the parameters… read more here.
Keywords: semantic learning; overlapping lpi; lpi radar; radar signals ... See more keywords
Human recognition with the optoelectronic reservoir-computing-based micro-Doppler radar signal processing.
Sign Up to like & getrecommendations! Published in 2022 at "Applied optics"
DOI: 10.1364/ao.462299
Abstract: Current perception and monitoring systems, such as human recognition, are affected by several environmental factors, such as limited light intensity, weather changes, occlusion of targets, and public privacy. Human recognition using radar signals is a… read more here.
Keywords: recognition; micro doppler; radar signals; doppler radar ... See more keywords
RF Dataset of Incumbent Radar Signals in the 3.5GHz CBRS Band
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Research of the National Institute of Standards and Technology"
DOI: 10.6028/jres.124.038
Abstract: This Radio Frequency (RF) dataset consists of synthetically generated waveforms of incumbent 3.5 GHz radar systems. The intended use of the dataset is for developing and evaluating detectors for the 3.5 GHz Citizens Broadband Radio… read more here.
Keywords: incumbent radar; dataset incumbent; radar; 5ghz cbrs ... See more keywords