Abstract

Research on Intelligent anti-jamming communication with Cognitive Radio

Highlights

  • Electromagnetic interferenceIn complex electromagnetic environment, cognitive radio technology is an effective means to resist interference

  • The basic principle of Non-Contiguous OFDM (NC-OFDM) is shown in Fig. 2, which is include spectrum sensing, coding and decoding, modulation and demodulation, OFDM modulation and demodulation, SNR estimation, channel estimation and other modules

  • Compared with the traditional OFDM technology, the basic structure of NC-OFDM is that there is more dynamic spectrum sensing at the transceiver end to eliminate the unavailable subcarriers

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Summary

Introduction

Cognitive radio technology is an effective means to resist interference. Both Non-Contiguous OFDM (NC-OFDM) and Transform Domain Communication System (TDCS) are waveforms suitable for discrete spectrum situations of cognitive radio scenarios, they can obtain real-time spectrum and interference distribution through spectrum sensing. Because the interference signal is often time-varying, the available spectrum is often discrete and irregular. This requires the study of smart anti-jamming technology. According to the electromagnetic interference environment, it intelligently generates the best anti-jamming method, improves the system's anti-jamming capability and spectrum utilization, and achieves efficient and EAI Endorsed Transactions on reliable anti-jamming communication. This paper explores the use of artificial intelligence algorithms such as neural networks to select the best waveform

NC-OFDM Waveform
TDCS Waveform
Spread Spectrum Waveform
Artificial Intelligence Algorithm
Simulation analysis
Conclusion
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