Frequency Hopping Signal Modulation Recognition Based on Time-Frequency Analysis
Authors:
- 1 October 2021
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 46-52
Abstract
Compared with the fixed frequency signal, the carrier frequency of frequency hopping (FH) signal is controlled by the pseudo-random codes, so it has better concealment and anti-interference. As an important parameter of FH communication, the modulation mode of FH signal can provide powerful support for combat response, such as identification of friend or foe attribute, positioning and jamming guidance, intelligence information extraction, etc. However, there is still a big gap in modulation recognition of FH signals at the domestic and foreign countries. In this paper, a modulation recognition method of FH signal based on time-frequency transform is proposed. The time-frequency images of different modulation types of FH signals are obtained by SPWVD time-frequency transform, and then the time-frequency images are denoised by convolution autoencoder. Finally, the denoised images are sent to convolution neural network for feature extraction and classification recognition. Simulation experiments prove that the proposed method achieves a good classification effect at low signal-to-noise ratios (SNRs), and achieves a recognition rate of 93.67% at -2dB.Keywords
Funding Information
- National Natural Science Foundation of China
- Research and Development
- Natural Science Foundation of Heilongjiang Province
- Fundamental Research Funds for the Central Universities
This publication has 24 references indexed in Scilit:
- Automatic Modulation Classification Using Convolutional Neural Network With Features Fusion of SPWVD and BJDIEEE Transactions on Signal and Information Processing over Networks, 2019
- Feature Image-Based Automatic Modulation Classification Method Using CNN Algorithm2019
- A Parameter Estimation Method of Frequency Hopping Signal Based On Sparse Time-frequency Method2018
- Detection of Fast Frequency-Hopping Signals Using Dirty Template in the Frequency DomainIEEE Wireless Communications Letters, 2018
- Modulation Classification Based on Signal Constellation Diagrams and Deep LearningIEEE Transactions on Neural Networks and Learning Systems, 2018
- Parameter Estimation of Multiple Frequency-Hopping Radar Signals2017
- A 17 mW 3-to-5 GHz Duty-Cycled Vital Sign Detection Radar Transceiver With Frequency Hopping and Time-Domain OversamplingIEEE Transactions on Circuits and Systems I: Regular Papers, 2016
- Research on Narrowband Interference Suppression and Diversity Characteristics in Fast Frequency-Hopping Communication SystemsInternational Journal of Future Generation Communication and Networking, 2016
- Recognition of digital modulation signals based on high-order cumulants2015
- Likelihood function-based modulation classification in bandwidth-constrained sensor networks2010