摘要
多分辨率频谱感知算法是一种利用小波变换时频尺度可变特性,对宽带通信系统进行快速准确地感知的频谱感知算法。基于多分辨率频谱感知算法的特性,提出了一套频谱感知性能参数化评估方法,构建了基于OFDM信号的多分辨率频谱感知算法仿真平台。分别从小波函数基的选取、调制方式、扫描速率以及实际IQ失配问题的影响等角度,对OFDM宽带信号的感知性能进行了系统的仿真评估和分析,获得感知系统在不同参数设置时的检测概率和误检概率评估结果,为认知无线电系统的进一步设计实现与性能评估提供了重要依据。
Multi-Resolution Spectrum Sensing (MRSS) algorithm is a new algorithm for Cognitive Radio. It can take advantage of time-frequency variable-scale features of wavelet transform, to realize rapid and accurate spectrum sensing for broadband communications systems. Based on the characteristics of MRSS algorithm, a parametric evaluation method for its performance was proposed and OFDM based MRSS algorithm simulation platform was established. Simulation analysis was used to evaluate and analyze the performance of MRSS algorithm to OFDM signal from different angles which were wavelet function, modulation, I/Q gain mismatch and scan interval, and obtained the results of detection probability and false detection probability of the spectrum sensing system with different parameters. An important theoretical basis for the further design and implementation and performance evaluation of cognitive radio system was provided.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2011年第11期2529-2534,共6页
Journal of System Simulation
基金
国家863项目(2009AA011502)
关键词
频谱感知
认知无线电
参数化评估
仿真分析
多分辨率
spectrum sensing
cognitive radios
parameterized evaluation
simulation analysis
multi-resolution