Autonomous Frequency-Shift Anti-Interference Communication Method
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Solution Overview
Problem
Existing anti-interference communication methods, such as frequency hopping and spread spectrum communication, are vulnerable to interference and require dedicated control channels, which can lead to communication disruptions when frequency sequences or control channels are intercepted.
Innovation Solution
An intelligent frequency-shift anti-interference autonomous communication method based on electromagnetic environment learning, where a transmitting node and a receiving node autonomously establish a communication link and detect interference using spectrum sensing and threshold comparison mechanisms, updating frequency points without a dedicated control channel, and employing a timeout detection mechanism to differentiate between homologous and heterogeneous interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If frequency hopping communication is used to achieve anti-interference, then communication reliability is improved, but the system requires dedicated control channels and frequency hopping sequences that are vulnerable to interception and tracking interference
Solution Approach 1:
The patent extracts and removes the dedicated control channel from the communication system, allowing frequency point negotiation to occur directly within the data transmission channel itself. This eliminates the vulnerability of separate control channels to interference while maintaining the anti-interference benefits of frequency hopping.
Solution Approach 2:
The communication nodes autonomously perform spectrum sensing, frequency point selection, and interference detection without requiring external control channel coordination. Each node independently negotiates and updates frequency points through self-contained packet exchanges, making the system self-sufficient and resistant to control channel interference.
2Reliability
If spread spectrum communication with large spread spectrum gain is used to achieve anti-interference, then communication reliability is improved, but frequency bandwidth occupation and system implementation complexity increase
Solution Approach 1:
The patent dynamically changes the frequency parameter during communication based on real-time spectrum sensing and interference detection. Instead of using large spread spectrum gain to maintain reliability, the system adjusts frequency points adaptively, achieving anti-interference performance with narrower bandwidth occupation.
3Speed
If dedicated control channel is used for frequency point negotiation, then link establishment speed is improved, but communication is vulnerable to interference on the control channel
Solution Approach 1:
The patent merges the frequency point negotiation function with the data transmission channel. Frequency negotiation information is embedded within data packets, allowing both control and data functions to share the same channel, thereby eliminating the dedicated control channel while maintaining negotiation efficiency.
Solution Approach 2:
The patent uses data packets as an intermediary carrier to convey frequency point negotiation information. Instead of using a separate control channel, frequency negotiation data is transmitted through the same packet structure used for payload data, making the control process resilient to control channel interference.
4Reliability
If real-time spectrum sensing and frequency point updates are performed to achieve anti-interference, then communication reliability is improved, but system complexity and processing overhead increase
Solution Approach 1:
The patent designs the data packet structure to serve multiple functions simultaneously: payload transmission, frequency point negotiation, and interference detection. This multi-functionality reduces the need for separate control mechanisms and procedures, thereby lowering overall system complexity while maintaining anti-interference capabilities.
Data Source
AI summary
Disclosed is an intelligent frequency-shift anti-interference autonomous communication method based on electromagnetic environment learning, applied to an intelligent frequency-shift anti-interference autonomous communication system based on electromagnetic environment learning. The method comprises a communication link establishing process and an intelligent frequency-shift anti-interference process in the communication process. In the communication link establishing process, a communication initiator initiates communication to a communication responder, and the communication initiator and the communication responder perform frequency point matching, and finally negotiate to establish a communication connection. In the intelligent frequency-shift anti-interference process, interference detection is carried out after the communication initiator and the communication responder establish a link, and a receiving frequency point is sensed, and finally, whether the receiving frequency point and a transmitting frequency point are matched or not is negotiated, so that implementation of intelligent frequency-shift anti-interference is realized.