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DNCNet: Deep Radar Signal Denoising and Recognition [PDF]
IEEE Transactions on Aerospace and Electronic Systems, 2022 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 suffer from degradation in the data mismatch scenario, e.g., the test dataset has a related but nonidentical ...
Mingyang Du +3 more
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The method for radar signal recognition
Journal de Physique IV (Proceedings), 2006 One of the principal functions of the ESM/ELINT system is gathenng basic information from entire electromagnetic spectrum and its analysis. In most cases, based only on primary features of incoming radar signals, the modern electronic intelligence system cannot recognize the different devices of the same type or class. The radar signal is the source of
A. Kawalec, R. Owczarek
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Research on radar signal recognition based on automatic machine learning
Neural Computing and Applications, 2019With the advancement of machine learning and radar technology, machine learning is becoming more and more widely used in the field of radar. Radar scanning, signal acquisition and processing, one-dimensional range image, radar SAR, ISAR image recognition, radar tracking and guidance are all integrated into machine learning technology, but machine ...
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Deep metric learning for robust radar signal recognition
Digital Signal Processing, 2023Kuiyu Chen, Shiwa Chen, Shuning Zhang
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LPI Radar Signal Recognition Based on Dual-Channel CNN and Feature Fusion
Symmetry, 2022 The accuracy of low probability of intercept (LPI) radar waveform recognition is an important and challenging problem in electronic warfare. Aiming at the problem of the difficulty in feature extraction and the low recognition rates of the LPI radar ...
Daying Quan, Wenchao Zhai
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Action Recognition Using WiFi Radar Signal Characteristics
2021With radar technology development, WiFi Radar’s application in human-computer interaction, live entertainment, and medical services has gradually deepened. The action recognition technology based on WiFi Radar signal has also attracted a lot of attention.
Jian Dong +4 more
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A new recognition system for radar emitter signals
Kybernetes, 2012PurposeThe purpose of this paper is to develop a new recognition system for identifying advanced radar emitter signals (RES).Design/methodology/approachInitially, the framework of the new recognition system is outlined. Then, feature extraction using resemblance coefficient and wavelet packet decomposition, and feature selection based on quantum ...
Gexiang Zhang, Xu Li
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Radar Signal Separation and Recognition based on Semantic Segmentation
2020 7th International Conference on Dependable Systems and Their Applications (DSA), 2020Signal recognition is a key technology in the current information and communication field, and it plays an important role in the civilian and military fields. With the diversification of signal modulation forms, the electronic reconnaissance environment becomes more and more complex, and the signal density continues to increase.
Changbo Hou +3 more
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Radar signal recognition algorithm based on entropy theory
The 2014 2nd International Conference on Systems and Informatics (ICSAI 2014), 2014With the increasingly complex electromagnetic environment of communication, as well as the gradually increased radar signal types, how to effectively identify the types of radar signals at low SNR becomes a hot topic. A radar signal recognition algorithm based on entropy features, which describes the distribution characteristics for different types of ...
Jingchao Li, YuLong Ying
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