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ELECTROMAGNETIC ENVIRONMENT LEARNING-BASED INTELLIGENT FREQUENCY SHIFT ANTI-INTERFERENCE AUTONOMOUS COMMUNICATION METHOD
ELECTROMAGNETIC ENVIRONMENT LEARNING-BASED INTELLIGENT FREQUENCY SHIFT ANTI-INTERFERENCE AUTONOMOUS COMMUNICATION METHOD
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机译：基于电磁环境学习的智能频移反干扰自主通信方法
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摘要
Disclosed is an electromagnetic environment learning-based intelligent frequency shift anti-interference autonomous communication method. The method is applied to an electromagnetic environment learning-based intelligent frequency shift anti-interference autonomous communication system formed by a transmission node, a reception node, and an interference node. The method comprises a communication link establishment process and an intelligent frequency shift anti-interference process during a communication process. The communication link establishment process comprises: a communication initiator performing communication with a communication responder in a set [a,b] frequency range, the two performing frequency matching, and finally performing negotiation and establishing a communication connection. The intelligent frequency shift anti-interference process comprises: performing interference detection after the communication initiator and the communicator responder establish a link, sensing a reception frequency in the [a,b] frequency range by means of a spectrum sensing algorithm, and finally performing negotiation regarding whether the reception frequency matches a transmission frequency, so as to achieve an intelligent frequency shift anti-interference function. Link communication can be autonomously established between the transmission node and the reception node of the present invention, achieving an intelligent frequency shift anti-interference function.
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