Publication detail

Radar Signal Recognition Method Based on Gaussian Mixture Models

BALADA, R.

Original Title

Radar Signal Recognition Method Based on Gaussian Mixture Models

Type

conference paper

Language

English

Original Abstract

This paper describes an automatic recognition method of radar signals. The modern radar systems utilize many heterogeneous signals and corresponding number of various recognition methods exist. Nevertheless, this paper is focused on an automatic target recognition method based on calculation of the Gaussian Mixture Models because they can be widely used and theirs parameters are easy to change. These abilities predetermine the Gaussian Mixture Models recognition method to cover the most of the radar signals recognition tasks. The Gaussian Mixture Models were obtained for a wide range of heterogeneous radar signals. The Maximum-likelihood criterion was applied to these models and algorithm performance was examined.

Keywords

Gaussian Mixture Model; GMM; radar signal; recognition

Authors

BALADA, R.

RIV year

2012

Released

26. 4. 2012

ISBN

978-80-214-4462-1

Book

Proceedings of the 18th Conference STUDENT EEICT 2012 Volume 3

Edition

Volume 3

Edition number

první

Pages from

54

Pages to

58

Pages count

5

BibTex

@inproceedings{BUT91659,
  author="Radek {Balada}",
  title="Radar Signal Recognition Method Based on Gaussian Mixture Models",
  booktitle="Proceedings of the 18th Conference STUDENT EEICT 2012 Volume 3",
  year="2012",
  series="Volume 3",
  number="první",
  pages="54--58",
  isbn="978-80-214-4462-1"
}