Position estimation using the Digital Audio Broadcast (DAB) signal
Over the past decades, there have been a number of trends that have driven the desire to improve the ability to navigate in all environments. While the Global Positioning System has been the driving factor behind most of these trends, there are limitations to this system that have become more eviden...
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| Format: | Thesis (University of Nottingham only) |
| Language: | English |
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2011
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| Online Access: | https://eprints.nottingham.ac.uk/12456/ |
| _version_ | 1848791505022484480 |
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| author | Palmer, Duncan. |
| author_facet | Palmer, Duncan. |
| author_sort | Palmer, Duncan. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Over the past decades, there have been a number of trends that have driven the desire to improve the ability to navigate in all environments. While the Global Positioning System has been the driving factor behind most of these trends, there are limitations to this system that have become more evident over time as the world has increasingly come to rely on navigation. These limitations are mostly due to the low transmission power of the satellites, where navigation signals broadcast from space are comparatively weak, especially by the time they have travelled to receivers on the ground. This makes the signals particularly vulnerable to fading in difficult environments such as "urban jungles" and other built up areas. The low signal-to-noise ratio (SNR) also means, that the signals are susceptible to jamming, both hostile and accidental.
This motivates the need for alternatives technologies to satellite navigation and consider terrestrial based alternatives such as LORAN-C and eLORAN, but there is also significant interest in the exploitation of other non-navigation signals for positioning and navigation purposes. These so-called 'Signals of Opportunity' do not generally require any alterations to existing communications transmission infrastructure and utilise alternative multi-carrier modulation techniques to those used by navigation systems.
This project examines the use of such a signal, the Digital Audio Broadcast (DAB) signal, as a positioning source. This thesis contains complete research from initial coverage simulations in the UK, through to extensive static testing, and the use of the signal in a dynamic environment and it has been shown that the Digital Audio Broadcast signal has potential as a terrestrial based positioning signal. |
| first_indexed | 2025-11-14T18:29:34Z |
| format | Thesis (University of Nottingham only) |
| id | nottingham-12456 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T18:29:34Z |
| publishDate | 2011 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-124562025-02-28T11:19:24Z https://eprints.nottingham.ac.uk/12456/ Position estimation using the Digital Audio Broadcast (DAB) signal Palmer, Duncan. Over the past decades, there have been a number of trends that have driven the desire to improve the ability to navigate in all environments. While the Global Positioning System has been the driving factor behind most of these trends, there are limitations to this system that have become more evident over time as the world has increasingly come to rely on navigation. These limitations are mostly due to the low transmission power of the satellites, where navigation signals broadcast from space are comparatively weak, especially by the time they have travelled to receivers on the ground. This makes the signals particularly vulnerable to fading in difficult environments such as "urban jungles" and other built up areas. The low signal-to-noise ratio (SNR) also means, that the signals are susceptible to jamming, both hostile and accidental. This motivates the need for alternatives technologies to satellite navigation and consider terrestrial based alternatives such as LORAN-C and eLORAN, but there is also significant interest in the exploitation of other non-navigation signals for positioning and navigation purposes. These so-called 'Signals of Opportunity' do not generally require any alterations to existing communications transmission infrastructure and utilise alternative multi-carrier modulation techniques to those used by navigation systems. This project examines the use of such a signal, the Digital Audio Broadcast (DAB) signal, as a positioning source. This thesis contains complete research from initial coverage simulations in the UK, through to extensive static testing, and the use of the signal in a dynamic environment and it has been shown that the Digital Audio Broadcast signal has potential as a terrestrial based positioning signal. 2011 Thesis (University of Nottingham only) NonPeerReviewed application/pdf en arr https://eprints.nottingham.ac.uk/12456/1/539180.pdf Palmer, Duncan. (2011) Position estimation using the Digital Audio Broadcast (DAB) signal. PhD thesis, University of Nottingham. Radio receivers and reception digital audio broadcasting signal processing digital techniques navigation equipment and supplies |
| spellingShingle | Radio receivers and reception digital audio broadcasting signal processing digital techniques navigation equipment and supplies Palmer, Duncan. Position estimation using the Digital Audio Broadcast (DAB) signal |
| title | Position estimation using the Digital Audio Broadcast (DAB) signal |
| title_full | Position estimation using the Digital Audio Broadcast (DAB) signal |
| title_fullStr | Position estimation using the Digital Audio Broadcast (DAB) signal |
| title_full_unstemmed | Position estimation using the Digital Audio Broadcast (DAB) signal |
| title_short | Position estimation using the Digital Audio Broadcast (DAB) signal |
| title_sort | position estimation using the digital audio broadcast (dab) signal |
| topic | Radio receivers and reception digital audio broadcasting signal processing digital techniques navigation equipment and supplies |
| url | https://eprints.nottingham.ac.uk/12456/ |