基于Slepian序列信号字典的目标频段瞬态信号检测方法  

Transient Signal Detection Method for Target Frequency Band Using Slepian Series

作　　者：雷茂林 叶芃[1,2] 杨慧芝 王培睿 赵禹 杨扩军[1,2] LEI Maolin;YE Peng;YANG Huizhi;WANG Peirui;ZHAO Yu;YANG Kuojun(School of Automation Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China;Shenzhen Institute for Advanced Study,University of Electronic Science and Technology of China,Shenzhen 518110,China;Basic Teaching Department,Sichuan College of Architectural Technology,Chengdu 610300,China;School of Information and Communication Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China)

机构地区：[1]电子科技大学自动化工程学院,成都611731 [2]电子科技大学(深圳)高等研究院,深圳518110 [3]四川建筑职业技术学院基础教学部,成都610300 [4]电子科技大学信息与通信工程学院,成都611731

出　　处：《电子科技大学学报》2024年第4期519-524,共6页Journal of University of Electronic Science and Technology of China

基　　金：国家自然科学基金(62201125);中央高校基础研究基金(ZYGX2020ZB003,ZYGX2020ZB002,ZYGX2020J012)。

摘　　要：提出一种基于Slepian序列信号字典的目标频段瞬态信号检测方法,该方法只关注目标频段的能量信息,是一种高效率的检测方式。首先,选取标准正交的Slepian序列组成信号字典,该字典能够表征目标频段内信号特征;然后,通过判断被观测信号样点与字典的匹配程度实现检测。对比实验表明,该方法的计算效率比短时傅里叶变换提升92%以上,比离散小波变换提升71%以上,比加窗Wigner-Ville分布提升35%以上。仿真实验使用时域稀疏的脉冲调制信号进行验证,结果表明了该检测方法的有效性。A huge amount of data will be generated per unit of time at high sampling rates.Some data will be discarded when the data cannot be processed in real-time,thus missing the episodic transient signals.Practical test scenarios are often faced with sparse signals in the frequency domain,and the concern is often narrow frequency bands.Therefore,a transient signal detection method for the target band is proposed based on a signal dictionary of the Slepian series,which is efficient by focusing only on target band energy information.First,a set of orthonormal Slepian sequences are selected to form a signal dictionary,which can characterize the signal features in the target band;then,the detection is achieved by judging the matching degree between the observed signal samples and the dictionary.The comparison experiment shows that the computational complexity of the proposed detection method is reduced by more than 92%compared with the short-time Fourier transform,more than 71%compared with the discrete wavelet transform,and more than 35%compared with the windowed Wigner-Ville distribution.Simulation experiments are performed using pulse-modulated signals with a sparse time domain for verification,and the results show the effectiveness of the proposed detection method.Based on the detection results,the sampling data that are not of interest can be discarded,which saves storage resources and reduces the amount of data for signal processing.

关 键 词：信号检测 频谱分析 瞬态分析 Slepian序列 多窗谱法 频谱感知 时频分析 

分 类 号：TB971[一般工业技术—计量学]