哈尔滨工程大学学报2025，Vol.46Issue(2)：355-362,8.DOI:10.11990/jheu.202306044
定频干扰下基于奇异值熵的跳频信号检测
Frequency hopping signal detection using singular value entropy under fixed frequency interference
摘要
Abstract
To address the considerable drop in performance of existing frequency hopping signal detection algorithms at low signal-to-noise ratios,this paper presents a blind detection algorithm using singular value entropy.This algo-rithm removes fixed-frequency interference components from the time-frequency image using the time-frequency can-cellation method.Then,it employs time-frequency migration and singular value decomposition to compute singular value entropy,which reflects the energy distribution characteristics of the time-frequency image.Singular value en-tropy serves as the detection statistic for frequency-hopping signals,facilitating accurate detection under fixed fre-quency interference.Simulation results demonstrate that the proposed algorithm achieves 100%detection probability when the signal-to-noise ratio exceeds-14 dB,exhibiting strong performance even when the frequency of the fixed-frequency interference overlaps with the signal.It can also be used for identifying fixed-frequency signals and fre-quency-hopping signals against a background of Gaussian white noise.关键词
跳频信号/短时傅里叶变换/时频对消/时频迁移/奇异值分解/奇异值熵/盲检测/定频干扰/高斯白噪声Key words
frequency hopping signal/short-time Fourier transform/time-frequency cancellation/time-frequency migration/singular value decomposition/singular value entropy/blind detection/fixed frequency interference/Gaussian white noise分类
信息技术与安全科学引用本文复制引用
齐雨,张晓林,孙溶辰..定频干扰下基于奇异值熵的跳频信号检测[J].哈尔滨工程大学学报,2025,46(2):355-362,8.基金项目
国家自然科学基金项目(62001139). （62001139）
