基于纯不连续马尔可夫过程的频谱感知研究

为解决在连续时间观测条件下认知无线电(CR: Cognitive Radio)频谱感知的问题, 提出一种在纯不连续马尔可夫过程中的频谱感知方法。信道状态在任意时刻可分为空闲和忙碌两种状态, 同时借助纯不连续马尔可夫过程在任意时刻停留的时间服从指数分布性质和富克 普朗克方程, 导出此类过程的状态转移矩阵, 主用户的累计占用时间和主用户在时间域上的分布情况。仿真结果表明, 该方法能较好地完成对信道状态进行预测和对主用户状态进行跟踪的任务。

Research on Cognitive Radio Spectrum Sensing Based on PurelyDiscontinuous Markov Process

In order to resolve the problem of cognitive radio spectrum sensing with continuous-time measurement, a spectrum sensing method based on the pu
rely discontinuous Markov process was proposed. The channel state can be divided into idle and busy state. The sojourn time of the purely discontinuous Markov process follows exponential distribution and the famous Fokker-Planck equation, the channel state matrix, the primary user's accumulation sojourn time and the distribution condition of the primary user in the time domain can be derived. From the results of the simulation, this method can preferably perform the task of predicting of the channel state and the task of tracking the state of the primary users.