基于频谱感知的权值优化算法研究

Research on Weight Optimization Algorithm Based on Spectrum Sensing

针对频谱资源短缺的现状,分析了传统的能量检测模型,并由此提出了一种优化权值的频谱感知算法.该算法实现对能量检测算法的优化,即在能量检测算法的基础上加入了加权控制和优化权值算法,然后将优化后的权值算法用于实际条件下进行模拟仿真得到结果.分析结果得知,权值进行优化后系统的虚警概率的确有所降低.并且,在信号与噪声比值不同的情况下,检测概率得到了改善,错误概率有所降低,从而系统的整体性能得到了有效提升.

Aiming at the shortage of spectrum resources, this paper analyzes the traditional energy detection models and puts forward a spectrum sensing algorithm of optimization weights. The algorithm realizes the optimi- zation of the energy detection algorithm. To be specific, the algorithm adds weighted control and the algorithm of optimization weights. The simulation of the algorithm of optimization weights is then carried out. It is shown through the results that the system＇ s false alarm probability is reduced indeed. Besides, under the condition of the different SNRs, the detection probability of the system is improved and the error probability is reduced. Hence, the overall system performance is improved.