在文献[10]中采用协作频谱感知的方法，使多个认知次用户同时感知主用户

In [10], the cooperative spectrum sensing method is adopted to enable multiple cognitive secondary users to perceive the signal energy of the primary user at the same time. Not only the multi-path effect in the wireless communication system is studied, but also the secondary users at different locations are The difference of user signals finally merges the perception information through data fusion, which improves the perception performance. In [11], a cooperative spectrum sensing algorithm based on phase compensation is proposed to improve the spectrum sensing performance. The sensing node in this algorithm sends the received signal to the cloud, and then uses phase compensation to combine into a signal, and uses the combined signal to check Whether there is a primary user or not, it uses all the available information of all sensing nodes to effectively improve the spectrum sensing performance. Reference [12] proposes an adaptive spectrum sensing algorithm based on multi-measurement vectors. In this algorithm, secondary users can use very few resources to perceive data, which not only reduces the utilization of secondary user resources but also improves the performance of collaborative perception. . Reference [13] proposed a simple quantization-based multi-bit cooperative sensing method for the problem of limited control channel bandwidth. In this method, each secondary user transmits multi-bit quantized data to the fusion center instead of transmitting a For bit or complete sensing data, this method also uses multiple users to collaborate to sense the main user, which greatly improves the sensing performance.

在文献[10]中采用协作频谱感知的方法，使多个认知次用户同时感知主用户信号能量，不仅研究了无线通信系统中的多路效应，还研究了不同位置的次用户对于感知主用户信号的差别，最后经数据融合将感知信息融合，提高了感知性能。在文献[11]中提出了一个基于相位补偿的协作频谱感知算法来提高频谱感知性能，该算法中的感知节点将接收的信号发送到云端，然后利用相位补偿组合成一个信号，利用组合信号检验是否存在主用户，它利用所有感知节点的所有可用信息，有效的提高了频谱感知性能。文献[12]提出了一种基于多测量矢量的自适应频谱传感算法，在这个算法中次用户可以使用很少的资源来感知数据，不仅可以减少次用户资源的利用而且能提高协作感知性能。文献[13]针对控制信道带宽有限的问题，提出了一种简单的基于量化的多比特协同传感方法，在这个方法中，每个次用户向融合中心传输多比特量化数据，而不是传输一个比特或完整的感知数据，本方法也是利用多次用户协作感知主用户，大大提高了感知性能。

In reference [10], the method of cooperative spectrum sensing is used to make multiple cognitive secondary users perceive the signal energy of the primary user at the same time. Not only the multi-channel effect in wireless communication system is studied, but also the difference of the secondary users' perception of the primary user's signal at different positions is studied. Finally, the sensing information is fused through data fusion to improve the sensing performance. In reference [11], a cooperative spectrum sensing algorithm based on phase compensation is proposed to improve the spectrum sensing performance. In this algorithm, the sensing node sends the received signal to the cloud, and then combines the phase compensation into a signal. The combined signal is used to check whether there is a main user. It uses all available information of all sensing nodes to effectively improve the spectrum sensing performance Yes. In reference [12], an adaptive spectrum sensing algorithm based on multiple measurement vectors is proposed. In this algorithm, the secondary user can use very few resources to perceive data, which can not only reduce the utilization of secondary user resources, but also improve the cooperative sensing performance. Document [13] aims at the limited bandwidth of control channel, a simple simultaneous interpreting method based on quantized multi bit is proposed. In this method, each secondary user transfers multi bit quantized data to the fusion center instead of transmitting one bit or complete sensing data. This method also uses multiple user collaboration to perceive the primary user, which greatly improves the sensing performance.