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
Algorithm to process the stepped frequency radar signal for a thin road surface application
Sign Up to like & getrecommendations! Published in 2018 at "Construction and Building Materials"
DOI: 10.1016/j.conbuildmat.2017.10.075
Abstract: Abstract This article describes an algorithm for calculating the relative permittivity from a stepped frequency continuous wave radar (SFCW) signal. The intended application for the developed radar is a quality estimation of the road surface… read more here.
Keywords: stepped frequency; frequency; radar signal; road ... See more keywords
Design of Costas/PSK continuous wave LPI radar signal
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Electronics"
DOI: 10.1080/00207217.2016.1218060
Abstract: ABSTRACT Low probability of intercept (LPI) radar signal design is a very important issue on modern battlefield. Different phase coding technologies are used to modulate Costas frequency hop sequence, and five kinds of continuous wave… read more here.
Keywords: psk continuous; lpi radar; continuous wave; radar signal ... See more keywords
Antijamming Design and Analysis of a Novel Pulse Compression Radar Signal Based on Radar Identity and Chaotic Encryption
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2019.2963481
Abstract: As the use of radar and radar jammers increases, a radar device is likely to face interference from jammers or other radar devices. Traditional phase-coded pulse compression radar devices are widely used, but these tools… read more here.
Keywords: compression radar; radar; radar signal; pulse compression ... See more keywords
Deep Learning Based Image Enhancement for Automotive Radar Trained With an Advanced Virtual Sensor
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3166227
Abstract: This paper introduces a novel deep learning based concept for image enhancement and distortion suppression in automotive radar signal processing. The deep neural network (DNN) is trained solely on virtual data that is generated by… read more here.
Keywords: radar signal; automotive radar; advanced virtual; virtual sensor ... See more keywords
Attenuation of Radar Signal by a Boreal Forest Canopy in Winter
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3187295
Abstract: An investigation of boreal forest attenuation of a radar signal in winter is presented, applying a multifrequency (1–10 GHz) ground-based synthetic aperture radar (GB-SAR). As stable targets, corner reflectors (CRs) with known radar cross section… read more here.
Keywords: attenuation; boreal forest; attenuation radar; radar signal ... See more keywords
Wideband Radar Signal Distribution With an Idler-Free Photonic Microwave Frequency Shifter
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Photonics Technology Letters"
DOI: 10.1109/lpt.2018.2873093
Abstract: We demonstrate a novel scheme that combines photonic microwave frequency conversion and fiber transmission to achieve millimeter-wave (mm-wave) wideband radar signal generation and distribution for distributed radar systems. The principle is based on optical carrier-suppressed… read more here.
Keywords: photonic microwave; microwave frequency; radar signal; radar ... See more keywords
Few-Shot Learning for Radar Signal Recognition Based on Tensor Imprint and Re-Parameterization Multi-Channel Multi-Branch Model
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3176532
Abstract: In an ever-increasingly complex electromagnetic environment, automatic radar signal recognition is becoming vital. Convolutional neural networks have been widely used for radar signal recognition, but deep learning-based algorithms only recognize trained classes. Recognizing novel radar… read more here.
Keywords: recognition; signal recognition; radar signal; tensor imprint ... See more keywords
Discriminant Analysis for Radar Signal Classification
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2020.2965787
Abstract: Discriminant analysis is a technique used in statistics and machine learning to separate two or more classes of objects or events. We introduce linear, quadratic, and mixture discriminant analysis methods into radar signal classification. However,… read more here.
Keywords: signal classification; analysis; radar signal; discriminant analysis ... See more keywords
DNCNet: Deep Radar Signal Denoising and Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2022.3153756
Abstract: Deep learning with its rapid development and advancement has achieved unparalleled performance in many areas like computer vision as well as cognitive radio and signal recognition. However, the performance of most deep neural networks would… read more here.
Keywords: recognition; radar signal; dataset; dncnet ... See more keywords