Detection and parameter estimation of frequency hopping signal based on the deep neural network-Reference-Cited by-同舟云学术

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Detection and parameter estimation of frequency hopping signal based on the deep neural network

Published:2021-05-13 Issue: Volume: Page:1-17
ISSN:0020-7217
Container-title:International Journal of Electronics
language:en
Short-container-title:International Journal of Electronics

Author:

Wang Yuyang¹,He Shiru¹,Wang Changrong¹,Li Zhi¹,Li Jian¹,Dai Huajian¹,Xie Jianlan¹

Affiliation:

1. Department of Electronics and Information Engineering, Sichuan University, Chengdu, China

Funder

innovation theory and technology of CLP Tianao Co., Ltd

complex electromagnetic spectrum detection and screening technology based on attention mechanism

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207217.2021.1914190

Reference25 articles.

1. Parameter estimation of spread spectrum frequency-hopping signals using time-frequency distributions

2. Interception of frequency-hopped spread-spectrum signals

3. Joint signal parameter estimation of frequency-hopping communications

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3. Joint Intelligent Reflecting Surface-Aided Frequency-Hopping Anti-Jamming for Tactical Wireless Systems;ICC 2024 - IEEE International Conference on Communications;2024-06-09

4. Advanced Algorithm for Detecting Frequency Hopping Signal in High Noise Environment;2023 12th International Conference on Control, Automation and Information Sciences (ICCAIS);2023-11-27

5. Prediction of Hybrid Asynchronous Frequency Hopping Pattern based on Deep Learning in Wideband Spectrum;2023 China Automation Congress (CAC);2023-11-17

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