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中文摘要：
基于部分可测马尔科夫决策过程（POMDP）模型,结合认知无线电频谱侦测技术,提出一种新的多无线电多信道环境下认知无线电检测信道算法.该算法通过对信道状态历史信息的分析,推导出信道信念状态的初始分布和转移概率;然后,以此选择出具有最佳回报的信道以供接入,使得次用户能获得最佳带宽回报,从而达到提高信道利用率的目的.仿真结果表明,算法获得相对于传统认知无线电频谱接入方式更高的信道带宽,并接近无漏检和虚警现象的理想情况,有效地提高了信道利用率.
英文摘要：
Based on the theory of partially observable Markov decision process（POMDP） model,a novel cognitive radio channel sensing algorithm integrated with spectrum sensing technique for cognitive radio under multi-radio multi-channel enviroment.By the analysis of the channel state historical information,the initial distribution of the belief state and transition probability is derived and the channel with optimal reward is selected for unlicensed user to improve the spectrum utilization.The simulation results demonstrate that the proposed algorithm has better performance than classical algorithms.
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