一种基于模拟滤波器的频谱感知方法研究

Research on a Spectrum Sensing Method based on Analog Filter

检测已知地点的频谱使用情况是动态频谱访问网络的基本问题。本文提出一种基于模拟滤波器的频谱感知方案(SSS-AF),其主要思路是,如果邻接频带的能量和较低,则认为该频带内的所有信道只存在一个测量值。为此,基于压缩传感理论,提出一种智能搜索算法,通过将总测量值数量降低至最小值来消除干扰,检测出可用频谱。采集特高频(Ultra-High Frequency,UHF)空白区域电视信号进行全面跟踪驱动仿真实验,评估算法性能。仿真结果表明,本文算法的频谱感知精度较高,当信道占用率分别为10%和30%时,本文算法的搜索速度分别上升3.4倍和1.5倍。

Detection of spectrum usage at a given location is an essential problem in dynamic spectrum access networks.This paper proposes a spectrum sensing algorithm based on analog filter(SSS-AF).The main idea is that if the energy sum of an adjacent frequency band is low,it is concluded that only one measurement value exists for all channels within that frequency band.Therefore,based on compressed sensing theory,an intelligent search algorithm is proposed to eliminate the interference and detect the available spectrum by reducing the total measured value to the minimum.The UHF(Ultra-High Frequency)blank area TV signal is collected and a comprehensive tracking and driving simulation experiment is carried out to evaluate the performance of the algorithm.Simulation results show that the spectrum sensing accuracy of the proposed algorithm is high,and the search speed of this algorithm increases by 3.4 times and 1.5 times respectively when 10%and 30%of the channels are occupied.