A Method of Arrival Angle Optimization in Single-Station Positioning Based on Statistical Features
Aiming to mitigate the substantial dispersion in arrival angle estimation due to colored and white noise interference, which may seriously affect the accuracy of short-wave single-station positioning, this paper introduces an approach to optimizing angles based on the statistical features. By utiliz...
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MDPI AG
2025-01-01
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Online Access: | https://www.mdpi.com/2072-4292/17/2/343 |
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author | Ting Li Tongxin Liu Xuehai Yang Guobin Yang Chunhua Jiang Chongzhe Lao |
author_facet | Ting Li Tongxin Liu Xuehai Yang Guobin Yang Chunhua Jiang Chongzhe Lao |
author_sort | Ting Li |
collection | DOAJ |
description | Aiming to mitigate the substantial dispersion in arrival angle estimation due to colored and white noise interference, which may seriously affect the accuracy of short-wave single-station positioning, this paper introduces an approach to optimizing angles based on the statistical features. By utilizing the extraction of the main peak area of the probability density distribution of the measured angle, as well as the two-dimensional Gaussian fitting and confidence ellipse bounding, the angle measurement results affected by colored noise interference and the noise points with large deviations can be sequentially filtered out. Combining experimental scenarios and confirmed by actual measurement data, the dispersion of arrival angle estimation results has been significantly constrained, and, correspondingly, the positioning accuracy has also been significantly improved by about 3%. |
format | Article |
id | doaj-art-b55bf71e072f408dbd732c15343e577f |
institution | Kabale University |
issn | 2072-4292 |
language | English |
publishDate | 2025-01-01 |
publisher | MDPI AG |
record_format | Article |
series | Remote Sensing |
spelling | doaj-art-b55bf71e072f408dbd732c15343e577f2025-01-24T13:48:12ZengMDPI AGRemote Sensing2072-42922025-01-0117234310.3390/rs17020343A Method of Arrival Angle Optimization in Single-Station Positioning Based on Statistical FeaturesTing Li0Tongxin Liu1Xuehai Yang2Guobin Yang3Chunhua Jiang4Chongzhe Lao5Southwest China Institute of Electronic Technology, Chengdu 610036, ChinaSchool of Electronic Information, Wuhan University, Wuhan 430072, ChinaSouthwest China Institute of Electronic Technology, Chengdu 610036, ChinaSchool of Electronic Information, Wuhan University, Wuhan 430072, ChinaSchool of Electronic Information, Wuhan University, Wuhan 430072, ChinaSchool of Electronic Information, Wuhan University, Wuhan 430072, ChinaAiming to mitigate the substantial dispersion in arrival angle estimation due to colored and white noise interference, which may seriously affect the accuracy of short-wave single-station positioning, this paper introduces an approach to optimizing angles based on the statistical features. By utilizing the extraction of the main peak area of the probability density distribution of the measured angle, as well as the two-dimensional Gaussian fitting and confidence ellipse bounding, the angle measurement results affected by colored noise interference and the noise points with large deviations can be sequentially filtered out. Combining experimental scenarios and confirmed by actual measurement data, the dispersion of arrival angle estimation results has been significantly constrained, and, correspondingly, the positioning accuracy has also been significantly improved by about 3%.https://www.mdpi.com/2072-4292/17/2/343short-wave single-station positioningarrival angle optimizationaccuracy evaluation |
spellingShingle | Ting Li Tongxin Liu Xuehai Yang Guobin Yang Chunhua Jiang Chongzhe Lao A Method of Arrival Angle Optimization in Single-Station Positioning Based on Statistical Features Remote Sensing short-wave single-station positioning arrival angle optimization accuracy evaluation |
title | A Method of Arrival Angle Optimization in Single-Station Positioning Based on Statistical Features |
title_full | A Method of Arrival Angle Optimization in Single-Station Positioning Based on Statistical Features |
title_fullStr | A Method of Arrival Angle Optimization in Single-Station Positioning Based on Statistical Features |
title_full_unstemmed | A Method of Arrival Angle Optimization in Single-Station Positioning Based on Statistical Features |
title_short | A Method of Arrival Angle Optimization in Single-Station Positioning Based on Statistical Features |
title_sort | method of arrival angle optimization in single station positioning based on statistical features |
topic | short-wave single-station positioning arrival angle optimization accuracy evaluation |
url | https://www.mdpi.com/2072-4292/17/2/343 |
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