Pulse repetition interval modulation recognition using deep CNN evolved by extreme learning machines and IP-based BBO algorithm
Pulse repetition interval modulation (PRIM) recognition is a critical task in electronic
intelligence (ELINT) and electronic support measure (ESM) systems for detecting radar …
intelligence (ELINT) and electronic support measure (ESM) systems for detecting radar …
Application of data particle geometrical divide algorithms in the process of radar signal recognition
J Dudczyk, Ł Rybak - Sensors, 2023 - mdpi.com
The process of recognising and classifying radar signals and their radiation sources is
currently a key element of operational activities in the electromagnetic environment. Systems …
currently a key element of operational activities in the electromagnetic environment. Systems …
Joint recognition and parameter estimation of cognitive radar work modes with LSTM-transformer
The recent developed cognitive radars can implement flexible work modes with
programmable modulation types and optimized modulating values for each mode definition …
programmable modulation types and optimized modulating values for each mode definition …
Working mode recognition of non-specific radar based on ResNet-SVM learning framework
J Pan, J Xiong, Y Zhuo - Sensors, 2023 - mdpi.com
Mode recognition is a basic task to interpret the behavior of multi-functional radar. The
existing methods need to train complex and huge neural networks to improve the …
existing methods need to train complex and huge neural networks to improve the …
[HTML][HTML] Radar pulse repetition interval modulation recognition with combined net and domain-adaptive few-shot learning
HC Feng, B Tang, T Wan - Digital Signal Processing, 2022 - Elsevier
Automatically identifying pulse repetition interval (PRI) patterns is an important task for
electronic support measure (ESM) systems in a complex electromagnetic environment …
electronic support measure (ESM) systems in a complex electromagnetic environment …
A Cascade Network for Pattern Recognition Based on Radar Signal Characteristics in Noisy Environments
J Xiong, J Pan, M Du - Remote Sensing, 2023 - mdpi.com
Target recognition mainly focuses on three approaches: optical-image-based, echo-
detection-based, and passive signal-analysis-based methods. Among them, the passive …
detection-based, and passive signal-analysis-based methods. Among them, the passive …
Attention driven CWT-deep learning approach for discrimination of Radar PRI modulation
P Sharma, KK Sarma - Physical Communication, 2024 - Elsevier
With the proliferation of radio frequency (RF) systems and radar applications, Electronic
Warfare (EW) is receiving increasing importance. The analysis of the radar signals is a …
Warfare (EW) is receiving increasing importance. The analysis of the radar signals is a …
Enhanced PRIM recognition using PRI sound and deep learning techniques
Pulse repetition interval modulation (PRIM) is integral to radar identification in modern
electronic support measure (ESM) and electronic intelligence (ELINT) systems. Various …
electronic support measure (ESM) and electronic intelligence (ELINT) systems. Various …
A cross-domain radar emitter recognition method with few-shot learning
Y Luo, T Liu, X Li, H Liu - 2023 4th International Symposium on …, 2023 - ieeexplore.ieee.org
In many realistic scenarios, it is necessary but challenging to acquire a large number of
annotated radar emitter samples for training a recognition model. This study proposes a …
annotated radar emitter samples for training a recognition model. This study proposes a …
Radar Recognition in the Wild: Enhancing Radar Emitter Recognition through Auto-Correlation Model-Agnostic Meta Learning
Y Luo, S Yang, T Liu, H Tan, R Jin… - ICASSP 2024-2024 …, 2024 - ieeexplore.ieee.org
In Electronic Support Measure (ESM) systems, the recognition of radar emitters stands as a
pivotal yet intricate task. The complex electromagnetic environments, however, often hinders …
pivotal yet intricate task. The complex electromagnetic environments, however, often hinders …