Analysis of multi-constellation GNSS signal quality
The code pseudo-ranges and phase pseudo-ranges are affected by the systematic errors or biases and random noises. These errors can be classified into three groups, satellite related errors, propagation-medium related errors and receiver related errors (Hofmann-Wellenhof, Lichtenegger and Collins 200...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
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2016
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| Online Access: | https://eprints.nottingham.ac.uk/33594/ |
| _version_ | 1848794663146749952 |
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| author | Richardson, Terri Hill, Chris Moore, Terry Toor, Pieter |
| author_facet | Richardson, Terri Hill, Chris Moore, Terry Toor, Pieter |
| author_sort | Richardson, Terri |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | The code pseudo-ranges and phase pseudo-ranges are affected by the systematic errors or biases and random noises. These errors can be classified into three groups, satellite related errors, propagation-medium related errors and receiver related errors (Hofmann-Wellenhof, Lichtenegger and Collins 2001; Leick 2004). Effective GNSS positioning depends on an understanding of the measurement error budget and eliminating or reducing those errors. Some systematic errors can be modelled and gives rise to additional terms in the observation equation, while other systematic effects can also be eliminated (or greatly reduced) by appropriate combinations of observables. However in the case of stand-alone positioning the use of relative positioning to reduce or eliminate biases is not a possible option.
The GNSS signal observation quality and bias investigation involved a thorough review, analysis and quantification of the constellation error sources and mitigation processes, also, focusing on those effects which cannot be eliminated or modeled. Signal quality is usually represented as signal-to-noise ratio (SNR) or as carrier-to-noise ratio (C/No). Both of those parameters are essential to assess the performance of GNSS receiver and they are directly related to the precision of code-phase and carrier-phase pseudo-range observations (Langley, 1997). This paper presents the work done, to evaluate the relationship between the SNR value generated by the receiver and the pseudo-range residual and, to develop an observation weight function, including the scale parameters that are specific to the observation types and linear combinations that were assessed, this ultimately may be used as a relative weighting scheme for combining data from multiple signals & constellations.
The results obtained showed that the higher pseudo-range residual values were associated with lower SNR values irrespective of GNSS constellation or observation signals. As the SNR values increased 45-55 dBHz the pseudo-range residual values are generally reduced. The high residual values were observed mainly at the beginning and ends of the observation periods tested and maybe related to the ascension and descent of the satellite or multipath. The SNR weighing developed, produced comparably similar position solution results to that of elevation weighing, however this weighting method has the advantage of allowing the use of a combination of different observations and signals. |
| first_indexed | 2025-11-14T19:19:46Z |
| format | Conference or Workshop Item |
| id | nottingham-33594 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:19:46Z |
| publishDate | 2016 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-335942020-05-04T17:30:18Z https://eprints.nottingham.ac.uk/33594/ Analysis of multi-constellation GNSS signal quality Richardson, Terri Hill, Chris Moore, Terry Toor, Pieter The code pseudo-ranges and phase pseudo-ranges are affected by the systematic errors or biases and random noises. These errors can be classified into three groups, satellite related errors, propagation-medium related errors and receiver related errors (Hofmann-Wellenhof, Lichtenegger and Collins 2001; Leick 2004). Effective GNSS positioning depends on an understanding of the measurement error budget and eliminating or reducing those errors. Some systematic errors can be modelled and gives rise to additional terms in the observation equation, while other systematic effects can also be eliminated (or greatly reduced) by appropriate combinations of observables. However in the case of stand-alone positioning the use of relative positioning to reduce or eliminate biases is not a possible option. The GNSS signal observation quality and bias investigation involved a thorough review, analysis and quantification of the constellation error sources and mitigation processes, also, focusing on those effects which cannot be eliminated or modeled. Signal quality is usually represented as signal-to-noise ratio (SNR) or as carrier-to-noise ratio (C/No). Both of those parameters are essential to assess the performance of GNSS receiver and they are directly related to the precision of code-phase and carrier-phase pseudo-range observations (Langley, 1997). This paper presents the work done, to evaluate the relationship between the SNR value generated by the receiver and the pseudo-range residual and, to develop an observation weight function, including the scale parameters that are specific to the observation types and linear combinations that were assessed, this ultimately may be used as a relative weighting scheme for combining data from multiple signals & constellations. The results obtained showed that the higher pseudo-range residual values were associated with lower SNR values irrespective of GNSS constellation or observation signals. As the SNR values increased 45-55 dBHz the pseudo-range residual values are generally reduced. The high residual values were observed mainly at the beginning and ends of the observation periods tested and maybe related to the ascension and descent of the satellite or multipath. The SNR weighing developed, produced comparably similar position solution results to that of elevation weighing, however this weighting method has the advantage of allowing the use of a combination of different observations and signals. 2016-01-25 Conference or Workshop Item PeerReviewed Richardson, Terri, Hill, Chris, Moore, Terry and Toor, Pieter (2016) Analysis of multi-constellation GNSS signal quality. In: 2016 International Technical Meeting of The Institute of Navigation, 25-28 Jan 2016, Monterey, California. http://www.ion.org/publications/abstract.cfm?jp=p&articleID=13394 |
| spellingShingle | Richardson, Terri Hill, Chris Moore, Terry Toor, Pieter Analysis of multi-constellation GNSS signal quality |
| title | Analysis of multi-constellation GNSS signal quality |
| title_full | Analysis of multi-constellation GNSS signal quality |
| title_fullStr | Analysis of multi-constellation GNSS signal quality |
| title_full_unstemmed | Analysis of multi-constellation GNSS signal quality |
| title_short | Analysis of multi-constellation GNSS signal quality |
| title_sort | analysis of multi-constellation gnss signal quality |
| url | https://eprints.nottingham.ac.uk/33594/ https://eprints.nottingham.ac.uk/33594/ |