In dynamic spectrum management based on cognitive radio,spectrum sensing is desired to explore more spec-trum opportunity while incurring less interference to licensed users.This paper investigated the tradeoff optimization of the two performance metrics,and constructed a joint optimization model in which the weighted sum of two metrics is re-garded as objective function,and sensing duration and sensing threshold are regarded as variables.This problem is proved to be in the form of biconcave optimization problem(BOP).An optimization algorithm based on alternative con-vex search was proposed,which can quickly find the near optimal solutions without relying on the predefined sensing parameters.Simulation results demonstrate that the joint parameters optimization scheme generates 32.0% and 85.9%promotion over single parameter optimization schemes on average.%在基于认知无线电的动态频谱管理中,频谱感知需要发现更多的频谱机会,同时尽量减少对授权用户的干扰.文中研究了能量感知中这两个性能指标的折中优化问题,建立了以两个指标的加权作为优化目标函数、感知时间和感知门限作为优化变量的联合优化模型,并证明了该问题属于双凹优化问题.提出了基于迭代凸优化搜索的优化算法,该算法在不依赖预置感知门限或感知时间的情况下,能够快速获得近似最优解.仿真表明,相比于单参数优化方法,所提联合优化算法的性能平均提高了32% 和85.9%.
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