火力与指挥控制2017，Vol.42Issue(5)：47-51,5.
基于LMD频域近似熵频谱感知算法研究
LMD Frequency Domain Approximate Entropy-based Spectrum Sensing Algorithm
摘要
Abstract
The existing spectrum sensing methods process two shortcomings,such as poor antinoise performance and detection performance under the condition of low Signal-to-Noise Radio (SNR) simulation,a LMD frequency spectrum sensing algorithm of approximate entropy is proposed to overcome these problems.Firsty,The algorithm which selects three PF components added up to extract the optimal local Frequency and envelope feature information,can further eliminate the influence of the noise uncertainty.Secondly,The algorithm calculates the approximate entropy of the cumulative component after it is Fourier transformed to promote the algorithm's sniffing in frequency domain information and improve the performance of detection.The Monte Carlo simulation results show that compared with time domain approximate entropy algorithm,the detection performance of 2ASK signal has been improved about 17 dB,under the noise power uncertainty of 0 db,sampling numbers of 8 000.At the same time,the detection probability can achieve of 100 ％ when the SNR is higher than-19 dB.关键词
频域近似熵/频谱感知/噪声不确定度Key words
frequency domain approximate entropy/spectrum sensing/noise uncertainty分类
信息技术与安全科学引用本文复制引用
曾旭,慕晓冬,王舒洋,赵典..基于LMD频域近似熵频谱感知算法研究[J].火力与指挥控制,2017,42(5):47-51,5.基金项目
国家“863”计划重点基金资助项目(2011701AA221) （2011701AA221）
