中文说明：最近的研究表明 70%的可利用的光谱不利用有效。增加带宽变得昂贵的频率的短缺。因此为有效地利用频谱，我们需要嗅探谱来确定是否它是正在利用初级用户，或不。认知无线电的术语是指通过电台参数使用遥感光谱信息。有各种频谱感知技术提出了但仍有的文学是在这一领域的研究人员去探索更多的余地复杂的方法。有三个主要类别的频谱感知技术 ；变送器检测、 接收机检测和干扰温度检测。本文提出了在文献中提出的技术综述频谱感知与变送器检测技术的性能分析。高信噪比下，提出了一种算法最小化遥感时间值可以尽量减少感测时间。其结果也是可靠与比较其他变送器检测技术。模糊的基础技术也提出了主用户检测。在与变送器检测技术基于模糊比较检测提供了很好结果在低信噪比下值的代价下增加计算时间。在 matlab 环境中做了所有的仿真
English Description：
Recent research shows that more than 70% of the available spectrum is not utilized efficiently. The bandwidth becomes expensive due to a shortage of frequencies. Therefore for efficient utilization of spectrum, we need to sniff the spectrum to determine whether it is being used by primary user or not. The term cognitive radio refers to the adoption of radio parameters using the sensed information of the spectrum. There are various spectrum sensing techniques proposed in the literature but still there is room for researchers in this field to explore more sophisticated approaches. There are three major categories of spectrum sensing techniques; transmitter detection, receiver detection and interference temperature detection. This thesis presents a survey of techniques suggested in the literature for spectrum sensing with a performance analysis of transmitter-based detection tech