Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Non-stationary signal classification for radar transmitter identification
Dissertation (MEng)--University of Pretoria, 2010.
Saved in:
| Other Authors: | |
|---|---|
| Format: | Thesis |
| Published: |
University of Pretoria
2013
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867613550402338816 |
|---|---|
| access_status_str | Open Access |
| author2 | Olivier, Jan Corne |
| author_browse | Olivier, Jan Corne |
| author_facet | Olivier, Jan Corne |
| collection | Thesis |
| dc_rights_str_mv | © 2010, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Dissertation (MEng)--University of Pretoria, 2010. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/27843 |
| institution | University of Pretoria (South Africa) |
| last_indexed | 2026-06-10T12:37:55.807Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2013 |
| publishDateRange | 2013 |
| publishDateSort | 2013 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/27843 Non-stationary signal classification for radar transmitter identification Olivier, Jan Corne christo.dpl@gmail.com Du Plessis, Marthinus Christoffel Non-stationary signal classification Wavelet packet transform Wigner-ville transform Support vector machine Battle-lemarié wavelet Quadratic time-frequency representation Discrete wavelet transform Multiresolution analysis UCTD Dissertation (MEng)--University of Pretoria, 2010. The radar transmitter identification problem involves the identification of a specific radar transmitter based on a received pulse. The radar transmitters are of identical make and model. This makes the problem challenging since the differences between radars of identical make and model will be solely due to component tolerances and variation. Radar pulses also vary in time and frequency which means that the problem is non-stationary. Because of this fact, time-frequency representations such as shift-invariant quadratic time-frequency representations (Cohen’s class) and wavelets were used. A model for a radar transmitter was developed. This consisted of an analytical solution to a pulse-forming network and a linear model of an oscillator. Three signal classification algorithms were developed. A signal classifier was developed that used a radially Gaussian Cohen’s class transform. This time-frequency representation was refined to increase the classification accuracy. The classification was performed with a support vector machine classifier. The second signal classifier used a wavelet packet transform to calculate the feature values. The classification was performed using a support vector machine. The third signal classifier also used the wavelet packet transform to calculate the feature values but used a Universum type classifier for classification. This classifier uses signals from the same domain to increase the classification accuracy. The classifiers were compared against each other on a cubic and exponential chirp test problem and the radar transmitter model. The classifier based on the Cohen’s class transform achieved the best classification accuracy. The classifier based on the wavelet packet transform achieved excellent results on an Electroencephalography (EEG) test dataset. The complexity of the wavelet packet classifier is significantly lower than the Cohen’s class classifier. Copyright Electrical, Electronic and Computer Engineering unrestricted 2013-09-07T12:29:30Z 2010-09-09 2013-09-07T12:29:30Z 2010-09-02 2010-09-09 2010-09-09 Dissertation Du Plessis, MC 2010, Non-stationary signal classification for radar transmitter identification, MEng dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/27843 > C10/524/gm http://hdl.handle.net/2263/27843 http://upetd.up.ac.za/thesis/available/etd-09092010-202158/ © 2010, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | Non-stationary signal classification Wavelet packet transform Wigner-ville transform Support vector machine Battle-lemarié wavelet Quadratic time-frequency representation Discrete wavelet transform Multiresolution analysis UCTD Non-stationary signal classification for radar transmitter identification |
| title | Non-stationary signal classification for radar transmitter identification |
| title_full | Non-stationary signal classification for radar transmitter identification |
| title_fullStr | Non-stationary signal classification for radar transmitter identification |
| title_full_unstemmed | Non-stationary signal classification for radar transmitter identification |
| title_short | Non-stationary signal classification for radar transmitter identification |
| title_sort | non stationary signal classification for radar transmitter identification |
| topic | Non-stationary signal classification Wavelet packet transform Wigner-ville transform Support vector machine Battle-lemarié wavelet Quadratic time-frequency representation Discrete wavelet transform Multiresolution analysis UCTD |
| url | http://hdl.handle.net/2263/27843 http://upetd.up.ac.za/thesis/available/etd-09092010-202158/ |