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认知无线电被认为是目前提高频谱资源利用率的最有效手段。次用户要使用主用户的空闲频段,必须能够准确的检测到主用户是否出现。能量检测技术由于无需信号的任何先念知识,应用最为广泛。在实高斯信号下,对基于能量的独立检测和协作检测方式进行了仿真研究。仿真结果表明:信号样本数和参与协作的用户数的增加可以有效地改善系统检测性能,但当用户数达到一定数目后,错误率基本无变化,反而还会增加系统开销。
Cognitive radio is considered as the most effective way to improve the utilization of spectrum resources. Secondary users want to use the primary user’s free band, you must be able to accurately detect the primary user appears. Energy detection technology is the most widely used because it requires no prior knowledge of the signal. In the real Gaussian signal, the energy-based independent detection and collaborative detection methods were simulated. The simulation results show that the number of signal samples and the number of users participating in the cooperation can effectively improve the system detection performance. However, when the number of users reaches a certain number, the error rate basically remains unchanged, and the system overhead will be increased.