【作者】 刘絮； 于长军；

【Author】 Liu Xu Yu Changjun (Research Institute of electronic Engineering,Harbin Institute of technology,Harbin 150001,China)

【机构】 哈尔滨工业大学电子工程技术研究所；

【摘要】 高频地波雷达工作频段存在着严重的电台干扰,尤其是夜间很难找到可用的寂静带宽,影响了雷达的探测性能。突破连续寂静带宽限制的随机跳频信号,成为高频地波雷达频域抗干扰的有效手段。本文在研究高频电磁环境频谱预测方法的基础上,对高频地波雷达在随机跳频信号体制下的工作频率选择方法进行了研究。提出了确定性模型预测后再划分状态的方法,具有比传统确定性模型及统计模型更高的频谱预测可靠性,采用寂静信道最多准则优选频段并利用遗传算法进行优化频率组合,有效地降低了基底和信号旁瓣电平, 提高了雷达适应恶劣电磁环境的能力。更多还原

【Abstract】 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 I-IFSWR in heavily congested electromagnetic environments.更多还原