一种具有认知功能数据处理模块的设计与实现

The Design and Implementation of Data Processing Module with Cognitive Radio Function

认知无线电技术具有较强的频谱感知能力,能提高宽带通信的抗干扰能力,现阶段主要集中于理论研究,实际的应用还很少。如何将认知无线电功能模块集成到宽频通信系统中,充分利用认知无线电的频谱感知功能来提高宽频通信的抗干扰能力,具有较强的实际意义。文章在宽频通信平台的基础上给出了一种具有认知功能数据处理模块的设计和实现方案,该方案采用改进的信噪比加权协作检测算法对宽频通信频谱进行实时感知,判断出工作频点是否受干扰,并用性能较好的备用频点来替换干扰工作频点,动态更新工作频率以避开干扰,提高宽频通信平台的抗干扰能力。最后在宽频通信平台上对模块进行了测试,测试结果表明文中所设计的模块能动态地更新宽频通信频率以避开干扰,提高了平台的抗干扰能力,达到了设计要求。

Cognitive radio technology has a strong ability of spectrtun sensing, which can improve the anti-jamming capability of broadband communications, but is focused on theoretical research and has rarely practical applications at the present stage. So, it has a strong practical significance to integrate cognitive radio module into broadband communication system and make full use of the spectrum sensing capabilities of cognitive radio to improve the anti-jamming capability of broadband communications. This paper presents the design and implementation of a data processing module with cognitive radio function based on the broadband communication platform. It uses an improved SNR weighted cooperative detection algorithm for real-time broadband spectrum sensing to determine whether the work frequency is interfered, and replaces the interfered work frequency with the better performance of backup frequency to avoid interference and improve the anti-jamming capability of broadband communication platform. Finally, the module is tested over the broadband communications platform, the results show that the module designed in this paper can dynamically update broadband communication frequencies to avoid interference and improve the antijamming capability of the platform, which achieves the design requirements.