基于拟合优度的频谱感知技术研究

Research on spectrum sensing technologies based on goodness of fit

认知无线电技术实现了频谱资源的动态分配,提高了频谱资源的利用率。而准确高效的频谱感知是认知无线电的核心环节,因此研究快速高性能的频谱感知算法已经成为一个亟待解决的问题。近年来,拟合优度检验在频谱感知领域得到了广泛应用,实现了小采样点下的有效频谱感知技术。因此,基于拟合优度的频谱感知技术具有重要的研究意义。综述了GOF在频谱感知中的发展历程,介绍其基本原理、常见的拟合准则及拟合对象;然后在高斯信道下,对该类算法进行仿真对比;最后对GOF类算法的进一步研究进行了展望。

Cognitive radio technology has achieved the dynamic allocation of spectrum resources, and improves the utilization rate of spectrum resources. Accurate and efficient spectrum sensing is the key step in cognitive radio.Developing a fast and high-performance spectrum sensing method has become an urgent problem to be solved. In recent years, goodness of fit（GOF） theory has been applied widely in the field of spectrum sensing and the effective spectrum sensing technology under small sample point has been implemented. Therefore,the research on spectrum sensing technology based on GOF has very significant value. The development process of GOF in areas of cognitive radio spectrum sensing was summarized, its basic principle common fitting criterion and fitting object were introduced. The simulation comparison of the algorithm was carried under the Gaussian channel and its prospects of further research was forecasted finally.