@inproceedings{3a29dedfd3894d48abfa23e28622b3ee,
title = "A new method for extracting instantaneous frequency feature of emitter signal",
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.",
keywords = "classify feature vectors, feature extraction, instantaneous frequency of radar signals, signal classify",
author = "Junfeng Tan and Xiaopeng Yan and Jiantao Wang and Ping Li",
year = "2011",
doi = "10.1117/12.896491",
language = "English",
isbn = "9780819485830",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Third International Conference on Digital Image Processing, ICDIP 2011",
note = "3rd International Conference on Digital Image Processing, ICDIP 2011 ; Conference date: 15-04-2011 Through 17-04-2011",
}