liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Signal Processing Using Wavelets in a Ground Penetrating Radar System
Linköping University, Department of Electrical Engineering.
2003 (English)Independent thesis Basic level (professional degree)Student thesisAlternative title
Signalbehandling med wavelets i ett markpenetrerande radarsystem (Swedish)
Abstract [en]

This master's thesis explores whether time-frequency techniques can be utilized in a ground penetrating radar system. The system studied is the HUMUS system which has been developed at FOI, and which is used for the detection and classification of buried land mines.

The objective of this master's thesis is twofold. First of all it is supposed to give a theoretical introduction to the wavelet transform and wavelet packets, and also to introduce general time-frequency transformations. Secondly, the thesis presents and implements an adaptive method, which is used to perform the task of a feature extractor.

The wavelet theory presented in this thesis gives a first introduction to the concept of time-frequency transformations. The wavelet transform and wavelet packets are studied in detail. The most important goal of this introduction is to define the theoretical background needed for the second objective of the thesis. However, some additional concepts will also be introduced, since they were deemed necessary to include in an introduction to wavelets.

To illustrate the possibilities of wavelet techniques in the existing HUMUS system, one specific application has been chosen. The application chosen is feature extraction. The method for feature extraction described in this thesis uses wavelet packets to transform theoriginal radar signal into a form where the features of the signal are better revealed. One of the algorithms strengths is its ability to adapt itself to the kind of input radar signals expected. The algorithm will pick the "best" wavelet packet from a large number of possible wavelet packets.

The method we use in this thesis emanates from a previously publicized dissertation. The method proposed in that dissertation has been modified to the specific environment of the HUMUS system. It has also been implemented in MATLAB, and tested using data obtained by the HUMUS system. The results are promising; even"weak"objects can be revealed using the method.

Place, publisher, year, edition, pages
Institutionen för systemteknik , 2003. , 77 p.
LiTH-ISY-Ex, 3274
Keyword [en]
Technology, wavelet, wavelet packet, feature extraction, mine detection
Keyword [sv]
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-1774OAI: diva2:19100
Available from: 2003-08-19 Created: 2003-08-19

Open Access in DiVA

fulltext(3345 kB)3708 downloads
File information
File name FULLTEXT01.pdfFile size 3345 kBChecksum SHA-1
Type fulltextMimetype application/pdf

By organisation
Department of Electrical Engineering
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 3708 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 1096 hits
ReferencesLink to record
Permanent link

Direct link