基于频谱检测的短波认知用户性能优化

为保证短波通信传输可靠性,改善短波通信质量,提高短波通信频谱利用率,本文以Watterson短波信道模型为基础,研究基于频谱检测的短波认知用户性能优化方法。首先建立短波授权用户的业务量指数分布通信模型,在此基础上求取衡量认知用户检测性能的检测门限、检测概率和虚警概率之间的关系。重点分析一定授权用户干扰容限下,认知用户系统吞吐量最优化问题,通过数值理论简化得到可控参数的最优化近似解。最后在理想信道、好信道、中等信道和差信道上,分别从检测时间、数据帧长和授权用户业务量对认知用户系统吞吐量的影响进行评估。仿真结果验证了基于频谱检测的短波通信系统中存在可控参数的最优解。

Optimization of HF Secondary User Performance through Spectrum Sensing

In order to provide a sufficiently robust and reliable technology to satisfy the dramatic increasing demand for HF radio spectrum,in this paper,we consider the characteristics of HF channel and formulate the HF primary user service load model by using the exponential distribution process.We analyze the relationship between the detecting threshold level and the detection and false alarm probabilities.Particularly,we formulate the sensing-throughput tradeoff problem mathematically,and study the problem of designing the controllable parameters to maximize the achievable throughput for the secondary users under the constraint that the primary users are sufficiently protected.MATLAB simulations have been performed to investigate the influence of sensing time,data duration and primary user traffic load on secondary users in the ideal channel,the good channel,the moderate channel and the poor channel.Simulation results show that the formulated problem indeed has the controllable parameters which yield the highest throughput for the secondary users.