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基于Slepian序列信号字典的目标频段瞬态信号检测方法

雷茂林 叶芃 杨慧芝 王培睿 赵禹 杨扩军

电子科技大学学报2024,Vol.53Issue(4):519-524,6.
电子科技大学学报2024,Vol.53Issue(4):519-524,6.DOI:10.12178/1001-0548.2023183

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

雷茂林 1叶芃 2杨慧芝 3王培睿 4赵禹 1杨扩军2

作者信息

  • 1. 电子科技大学自动化工程学院,成都 611731
  • 2. 电子科技大学自动化工程学院,成都 611731||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
  • 折叠

摘要

Abstract

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

Key words

signal detection/spectrum analysis/transient analysis/Slepian series/multi-taper method/spectrum sensing/time-frequency analysis

分类

通用工业技术

引用本文复制引用

雷茂林,叶芃,杨慧芝,王培睿,赵禹,杨扩军..基于Slepian序列信号字典的目标频段瞬态信号检测方法[J].电子科技大学学报,2024,53(4):519-524,6.

基金项目

国家自然科学基金(62201125) (62201125)

中央高校基础研究基金(ZYGX2020ZB003,ZYGX2020ZB002,ZYGX2020J012) (ZYGX2020ZB003,ZYGX2020ZB002,ZYGX2020J012)

电子科技大学学报

OA北大核心CSTPCD

1001-0548

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