动态PU信号能量检测的盲信号分离算法
A Blind Signal Separation Algorithm for Energy Detection of Dynamic PU Signals
摘要：
用于在动态主用户（PU）场景中实现机会性频谱接入的能量检测过程需要估计范围从噪声方差和信噪比（SNR）到瞬时和平均PU活动的若干参数，其中PU在随机时间实例处将状态从活动改变到不活动。参数估计的先决条件是在接收信号时间帧中准确提取信号和噪声样本。在这封信中，我们提出了一个低复杂度和准确的信号分离算法相比，众所周知的方法，这也是盲目的PU活动分布。该算法的准确性和时间复杂度，在识别信号和噪声样本，并在信道占用估计，在不同的占用率和信噪比的PU信号的半实验仿真设置进行了分析。结果证实其适用于获得必要的信息，PU的动态行为，这是否则假定在文献中是已知的。
英文摘要：
Energy detection process for enabling opportunistic spectrum access in dynamic primary user (PU) scenarios, where PU changes state from active to inactive at random time instances, requires estimation of several parameters ranging from noise variance and signal-to-noise ratio (SNR) to instantaneous and average PU activity. A prerequisite to parameter estimation is an accurate extraction of the signal and noise samples in a received signal time frame. In this letter, we propose a low-complexity and accurate signal separation algorithm as compared to well-known methods, which is also blind to the PU activity distribution. The proposed algorithm is analyzed in a semi-experimental simulation setup for its accuracy and time complexity in recognizing signal and noise samples, and its use in channel occupancy estimation, under varying occupancy and SNR of the PU signal. The results confirm its suitability for acquiring the necessary information on the dynamic behavior of PU, which is otherwise assumed to be known in the literature.
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