A new method for extracting instantaneous frequency feature of emitter signal

Junfeng Tan, Xiaopeng Yan*, Jiantao Wang, Ping Li

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Currently, mostly used method for Instantaneous Frequency (IF) feature extraction of radar signal is two-dimensional graph, which is easy for people to distinguish, but not for machines. This article proposes a feature extraction algorithm based on instantaneous frequency of radiation source. Using the statistical change difference of different IF signals, we formulate the classification feature vectors describing the various types of signal pulse modulation laws, according which we do some classification experiments. The experiments prove that instantaneous frequency characteristics of radiation sources can characterize the change difference of different modulation signals and have some anti-noise performance. We are sure that this method can be used in signal sorting, and can be realized in practice.

Original languageEnglish
Title of host publicationThird International Conference on Digital Image Processing, ICDIP 2011
DOIs
Publication statusPublished - 2011
Event3rd International Conference on Digital Image Processing, ICDIP 2011 - Chengdu, China
Duration: 15 Apr 201117 Apr 2011

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8009
ISSN (Print)0277-786X

Conference

Conference3rd International Conference on Digital Image Processing, ICDIP 2011
Country/TerritoryChina
CityChengdu
Period15/04/1117/04/11

Keywords

  • classify feature vectors
  • feature extraction
  • instantaneous frequency of radar signals
  • signal classify

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