On the Performance of the Energy Detector Subject to Impulsive Noise in κ-μ, α-μ, and η-μ Fading Channels

This paper presents a unified theoretical analysis of the energy detection of Gaussian and M-PSK signals in κ-μ,α-μ,and η-μ fading channels at the output of an energy detector subject to impulsive noise（Bernoulli-Gaussian model）. As a result, novel, simple, and accurately approximated expressions for the probability of detection are derived. More precisely, the generalized Gauss-Laguerre quadrature is applied to approximate the probability of detection as a simple finite sum. Monte Carlo simulations corroborate the accuracy and precision of the derived approximations. The results are further extended to cooperative energy detection with hard decision combining information.

认知无线电中基于拟合优度的频谱盲检测算法研究

首先,提出噪声方差未知情况下基于t分布的Anderson-Darling的认知无线电频谱盲检测方法,通过计算接收到信道采样样本均值和方差比的分布函数与t分布函数之间的Anderson-darling距离,实现频谱检测。其次,提了基于特征函数的频谱盲检测算法,通过计算接收到的样本经验特征函数与已知特征函数的距离,判决信道中是否存在信号传输。最后,给出了衰落信道下,所提2种基于拟合优度的频谱盲检测算法的虚警概率和检测概率下界。理论和仿真表明,噪声方差未知情况下,所提2种频谱盲检测算法比传统的噪声方差已知时的能量检测法具有更好的性能。在低信噪比和小样本条件下,性能提高表现的尤其明显。

多天线协作频谱感知性能分析

频谱感知性能的优劣直接影响认知通信系统的性能。文中分析了多天线协作能量检测频谱感知在加性高斯(AWGN)信道和κ-μ衰落信道下的性能,给出了相应的ROC曲线,总的检测错误概率与改进的能量检测器参数p,判决门限λ和信噪比(SNR)之间的变化关系。仿真结果表明,改进的能量检测器可以通过设置最优的参数p提高系统的检测性能,同时也验证了多天线协作对提高频谱检测性能的有效性。