High-Frequency Surface-Wave Radar Real Time Frequency Selecting Based on Frequency Randomly Hopping Signal

Serious radio interferences are distributed in the operating frequency band of High-frequency surface-wave radar (HFSWR) which makes it difficult to find silent bandwidth especially at night to work, the performance of HFSWR is decreased greatly. Frequency randomly hopping signal which breakthrough the restriction of continual spectrum has become an effective anti-jamming method. Based on the study of HF spectrum forecasting measure, the frequency selecting methods of frequency hopping signal radar was studied in this paper. Forecast with deterministic model followed by state partition was proposed, which has higher reliability than traditional deterministic model and statistical model. The rule of most silent channel was used to select the optimum frequency band and genetic algorithm was used to optimize frequency combination. The noise floor and the signal side-lobe level are minimized effectively and it improves the detection capability of HFSWR in heavily congested electromagnetic environments.