An Anti-Interference Method Based on Energy Residual Searching in GNSS Positioning Applications Article Swipe
Xiaobing Jiang
,
Ming Lei
,
Y. Niu
,
Jiashan Wan
,
Na Xia
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/electronics13234713
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/electronics13234713
Addressing the issue of linear frequency modulation (LFM) interference in GNSS positioning, this paper proposes an interference suppression method based on energy residual searching, incorporating the fractional Fourier transform (FrFT) for improved performance. In GNSS systems, LFM interference can severely impair positioning accuracy and system robustness, potentially rendering the receiver incapable of performing accurate localization. To address this issue, an energy residual function is introduced to quantitatively assess the impact of interference on the original signal. This function combines differences in signal energy with signal quality after spectral line removal to achieve effective interference evaluation. By optimizing the parameters of the fractional Fourier transform to maximize the value of the energy residual function the proposed method significantly enhances interference suppression. Our experimental results demonstrate that the method performs exceptionally well on practical datasets, effectively removing interference and restoring relevant peaks. This approach mitigates the negative effects of LFM interference on GNSS positioning performance, substantially improving both positioning accuracy and system robustness.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/electronics13234713
- OA Status
- gold
- References
- 29
- Related Works
- 10
- OpenAlex ID
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- OpenAlex ID
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https://openalex.org/W4404819182Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/electronics13234713Digital Object Identifier
- Title
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An Anti-Interference Method Based on Energy Residual Searching in GNSS Positioning ApplicationsWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-11-28Full publication date if available
- Authors
-
Xiaobing Jiang, Ming Lei, Y. Niu, Jiashan Wan, Na XiaList of authors in order
- Landing page
-
https://doi.org/10.3390/electronics13234713Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.3390/electronics13234713Direct OA link when available
- Concepts
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GNSS applications, Interference (communication), Robustness (evolution), Residual, Computer science, Electronic engineering, Energy (signal processing), Algorithm, Engineering, Telecommunications, Global Positioning System, Mathematics, Statistics, Channel (broadcasting), Biochemistry, Chemistry, GeneTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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29Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.issue | 2 |
| abstract_inverted_index.paper | 13 |
| abstract_inverted_index.value | 107 |
| abstract_inverted_index.(FrFT) | 29 |
| abstract_inverted_index.assess | 67 |
| abstract_inverted_index.energy | 21, 60, 82, 110 |
| abstract_inverted_index.impact | 69 |
| abstract_inverted_index.impair | 40 |
| abstract_inverted_index.issue, | 58 |
| abstract_inverted_index.linear | 4 |
| abstract_inverted_index.method | 18, 115, 126 |
| abstract_inverted_index.peaks. | 139 |
| abstract_inverted_index.signal | 81, 84 |
| abstract_inverted_index.system | 44, 159 |
| abstract_inverted_index.Fourier | 27, 102 |
| abstract_inverted_index.achieve | 91 |
| abstract_inverted_index.address | 56 |
| abstract_inverted_index.effects | 145 |
| abstract_inverted_index.quality | 85 |
| abstract_inverted_index.removal | 89 |
| abstract_inverted_index.results | 122 |
| abstract_inverted_index.signal. | 75 |
| abstract_inverted_index.accuracy | 42, 157 |
| abstract_inverted_index.accurate | 53 |
| abstract_inverted_index.approach | 141 |
| abstract_inverted_index.combines | 78 |
| abstract_inverted_index.enhances | 117 |
| abstract_inverted_index.function | 62, 77, 112 |
| abstract_inverted_index.improved | 31 |
| abstract_inverted_index.maximize | 105 |
| abstract_inverted_index.negative | 144 |
| abstract_inverted_index.original | 74 |
| abstract_inverted_index.performs | 127 |
| abstract_inverted_index.proposed | 114 |
| abstract_inverted_index.proposes | 14 |
| abstract_inverted_index.receiver | 49 |
| abstract_inverted_index.relevant | 138 |
| abstract_inverted_index.removing | 134 |
| abstract_inverted_index.residual | 22, 61, 111 |
| abstract_inverted_index.severely | 39 |
| abstract_inverted_index.spectral | 87 |
| abstract_inverted_index.systems, | 35 |
| abstract_inverted_index.datasets, | 132 |
| abstract_inverted_index.effective | 92 |
| abstract_inverted_index.frequency | 5 |
| abstract_inverted_index.improving | 154 |
| abstract_inverted_index.incapable | 50 |
| abstract_inverted_index.mitigates | 142 |
| abstract_inverted_index.practical | 131 |
| abstract_inverted_index.rendering | 47 |
| abstract_inverted_index.restoring | 137 |
| abstract_inverted_index.transform | 28, 103 |
| abstract_inverted_index.Addressing | 0 |
| abstract_inverted_index.fractional | 26, 101 |
| abstract_inverted_index.introduced | 64 |
| abstract_inverted_index.modulation | 6 |
| abstract_inverted_index.optimizing | 96 |
| abstract_inverted_index.parameters | 98 |
| abstract_inverted_index.performing | 52 |
| abstract_inverted_index.searching, | 23 |
| abstract_inverted_index.demonstrate | 123 |
| abstract_inverted_index.differences | 79 |
| abstract_inverted_index.effectively | 133 |
| abstract_inverted_index.evaluation. | 94 |
| abstract_inverted_index.positioning | 41, 151, 156 |
| abstract_inverted_index.potentially | 46 |
| abstract_inverted_index.robustness, | 45 |
| abstract_inverted_index.robustness. | 160 |
| abstract_inverted_index.suppression | 17 |
| abstract_inverted_index.experimental | 121 |
| abstract_inverted_index.interference | 8, 16, 37, 71, 93, 118, 135, 148 |
| abstract_inverted_index.performance, | 152 |
| abstract_inverted_index.performance. | 32 |
| abstract_inverted_index.positioning, | 11 |
| abstract_inverted_index.suppression. | 119 |
| abstract_inverted_index.exceptionally | 128 |
| abstract_inverted_index.incorporating | 24 |
| abstract_inverted_index.localization. | 54 |
| abstract_inverted_index.significantly | 116 |
| abstract_inverted_index.substantially | 153 |
| abstract_inverted_index.quantitatively | 66 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5070282974 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.9100000262260437 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.41129658 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |