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针对传统频谱感知方法易受噪声波动影响的缺点,提出了一种认知无线电自适应双门限能量检测算法. 该算法基于双门限能量检测,通过比较认知用户接收的能量值和预定义的门限值,判断当前信道状态并自适应地选择一轮感知或两轮感知. 推导了所提算法的检测概率、虚检概率和感知时间的性能表达式,并采用蒙特卡洛仿真得到信噪比与检测概率、感知时间的关系,最后利用GUN Radio和USRP搭建软件无线电系统平台,在实际的无线电环境中对所提算法进行验证. 仿真结果与实际验证结果均表明,与传统频谱感知方法相比,所提算法在合理的感知时间范围内,能达到更高的检测概率.
Aiming at the disadvantage of traditional spectrum sensing method which is easily affected by noise fluctuation, a cognitive radio adaptive two-threshold energy detection algorithm is proposed based on double-threshold energy detection. By comparing the energy value received by cognitive users and the predefined gate Limit to determine the current state of the channel and adaptively select a round of perception or two rounds of perception.Experimental results of the proposed algorithm detection probability, virtual detection probability and perceived time performance expression, and the use of Monte Carlo simulation to get the signal to noise ratio And the relationship between detection probability and perceived time.At last, GUN Radio and USRP are used to establish a software radio system platform to validate the proposed algorithm in the real radio environment.The simulation results and practical verification results show that compared with the traditional spectrum sensing method , The proposed algorithm can achieve a higher probability of detection within a reasonable range of perceived time.