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A software defined radio based radar system with applications in the detection of wildlife poaching

Thesis (MEng)--Stellenbosch University, 2023.

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Bibliographic Details
Main Author: Van Zyl, Christiaan
Other Authors: Niesler, Thomas
Format: Thesis
Language:en_ZA
en_ZA
Published: Stellenbosch : Stellenbosch University 2023
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access_status_str Open Access
author Van Zyl, Christiaan
author2 Niesler, Thomas
author_browse Niesler, Thomas
Van Zyl, Christiaan
author_facet Niesler, Thomas
Van Zyl, Christiaan
author_sort Van Zyl, Christiaan
collection Thesis
dc_rights_str_mv Stellenbosch University
description Thesis (MEng)--Stellenbosch University, 2023.
format Thesis
id oai:scholar.sun.ac.za:10019.1/129009
institution Stellenbosch University (South Africa)
language en_ZA
en_ZA
last_indexed 2026-06-10T12:42:30.205Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2023
publishDateRange 2023
publishDateSort 2023
publisher Stellenbosch : Stellenbosch University
publisherStr Stellenbosch : Stellenbosch University
record_format dspace
source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/129009 A software defined radio based radar system with applications in the detection of wildlife poaching Van Zyl, Christiaan Niesler, Thomas Stellenbosch University. Faculty of Engineering. Dept. of Electrical and Electronic Engineering. Software radio Radar -- Automatic detection Signal processing -- Digital techniques Doppler tracking Thesis (MEng)--Stellenbosch University, 2023. ENGLISH ABSTRACT: This thesis presents the development and testing of a low-cost and low-power software-defined r adio ( SDR) b ased r adar p latform f or u se i n anti-poaching applications. A low frequency of 1.1 GHz is specifically selected to investigate the viability of classifying human activity, whilst enabling foliage penetration. A software interface and control tool for the SDR was developed to enable the rapid development and testing of radar techniques, and the collecting and storing of data in the form of I/Q samples. A signal processing pipeline was implemented using the Julia programming language to generate range-Doppler maps from these I/Q samples. Existing non-linear frequency modulated pulse compression waveforms did not yield satisfactory performance due to the low time-bandwidth product regime in which the radar system operates. A pulse compression waveform based on optimised Bézier curves was therefore developed and shown to offer improved performance over existing methods that require a higher time bandwidth product. The best Bézier vertices were determined by a particle swarm optimisation method, which is also presented. A dataset was collected to evaluate the system’s ability to classify targets based on micro-Doppler frequencies. A novel convolutional neural network configuration t hat u ses t emporal D oppler f rames i s p resented a nd s hown to achieve a classification accuracy of 91.6% when testing on a dataset containing a single person. Therefore, it may be concluded that SDR-based radar merits further consideration as a low-cost and low-power approach to the detection of poachers in automated anti-poaching systems. AFRIKAANSE OPSOMMING: Hierdie tesis bied die ontwikkeling en toetsing van ’n lae koste en lae kragverbruik sagteware-gedefinieerde r adio ( SGR) g ebaseerde r adarplatform a an vir gebruik in anti-stropery toepassings. ’n Lae frekwensie van 1.1 GHz is spesifiek gekies om die lewensvatbaarheid van die klassifisering van menslike aktiwiteite te ondersoek en terselfdetyd penetrasie deur plantegroei te fasiliteer. ’n Sagteware koppelvlak- en beheerinstrument vir die SGR is ontwikkel om die vinnige ontwikkeling en toetsing van radartegnieke moontlik te maak, sowel as die versameling van data in die vorm van I/Q-monsters. ’n Seinverwerkingstelsel is geïmplementeer met behulp van die Julia-programmeringstaal om afstand-Doppler-beelde uit die I/Q-monsters te genereer. Bestaande nie-lineˆere frekwensie-gemoduleerde pulskompressie-golfvorms het nie bevredigende prestasie gelewer nie as gevolg van die lae tyd-bandwydte produk waarin die radarstelsel werk. ’n Pulskompressie-golfvorm gebaseer op geoptimeerde Bézier krommes was ontwikkel en geïllustreer om verbeterde prestasie te bied in vergelyking met bestaande metodes wat ’n hoër tydbandwydte produk vereis. Die beste Bézier hoekpunte was gevind deur ’n partikelswerm-optimeringsmetode te gebruik en word voorgestel. ’n Datastel is ingesamel om die vermoë van die stelsel om teikens te klassifiseer o p g rond van mikro-Doppler-frekwensies t e e valueer. ’ n Nuwe konvolutiewe neurale-netwerk-konfigurasie, w at t yddomain D oppler-rame gebruik, word voorgestel en geïllustreer om ’n klassifikasie a kkuraatheid van 9 1.6% te behaal tydens toetsing op ’n datastel wat ’n enkele persoon bevat. Masters 2023-11-20T09:25:58Z 2024-01-08T19:05:38Z 2023-11-20T09:25:58Z 2024-01-08T19:05:38Z 2023-12 Thesis https://scholar.sun.ac.za/handle/10019.1/129009 en_ZA en_ZA Stellenbosch University xxiv, 158 pages : illustrations application/pdf Stellenbosch : Stellenbosch University
spellingShingle Software radio
Radar -- Automatic detection
Signal processing -- Digital techniques
Doppler tracking
Van Zyl, Christiaan
A software defined radio based radar system with applications in the detection of wildlife poaching
title A software defined radio based radar system with applications in the detection of wildlife poaching
title_full A software defined radio based radar system with applications in the detection of wildlife poaching
title_fullStr A software defined radio based radar system with applications in the detection of wildlife poaching
title_full_unstemmed A software defined radio based radar system with applications in the detection of wildlife poaching
title_short A software defined radio based radar system with applications in the detection of wildlife poaching
title_sort software defined radio based radar system with applications in the detection of wildlife poaching
topic Software radio
Radar -- Automatic detection
Signal processing -- Digital techniques
Doppler tracking
url https://scholar.sun.ac.za/handle/10019.1/129009
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AT vanzylchristiaan softwaredefinedradiobasedradarsystemwithapplicationsinthedetectionofwildlifepoaching