The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
O efeito multipercurso da fase portadora pode afetar seriamente a precisão do posicionamento baseado em GPS em aplicações estáticas de linha de base curta. Embora vários tipos de métodos baseados em técnicas no domínio do tempo e no domínio espacial tenham sido propostos para mitigar esse erro, eles ainda são limitados pela precisão do modelo multipercurso e pela eficácia da estratégia de correção. Depois de analisar os métodos existentes, é apresentado um novo método baseado na transformada de pacote wavelet de limiar adaptativo (AW) e na estratégia de busca de domínio espacial (TB) de bootstrap no domínio do tempo (AWTB). Aproveitando a transformada de pacote wavelet de limiar adaptativo, aumentamos a precisão do modelo de correção e a eficiência do método de extração. Além disso, ao adotar a estratégia proposta de domínio espacial de bootstrap no domínio do tempo, a precisão e a eficiência da correção multipercurso subsequente são melhoradas significativamente. Especificamente, após a aplicação do método de pacote wavelet de limiarização adaptativa, a taxa média de melhoria nos valores RMS dos resíduos L1 de diferença única é de cerca de 27.93% em comparação com os resultados originais. Além disso, após a aplicação do método AWTB proposto, os experimentos mostram que a precisão do posicionamento 3D é melhorada em cerca de 38.51% em comparação com os resultados originais. Mesmo comparado com o método baseado na transformada wavelet estacionária (SWT) e o método baseado na remoção de ruído de pacotes wavelet (WPD), a precisão 3D é melhorada em cerca de 26.94% em relação ao método SWT e cerca de 22.96% em relação ao método WPD, respectivamente. É importante notar que, embora o consumo médio de tempo do algoritmo proposto seja maior que o do método original, o aumento do consumo de tempo não representa um fardo sério para o desempenho geral.
Yanxi YANG
Wuhan University
Jinguang JIANG
Wuhan University
Meilin HE
Hangzhou Dianzi University
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Yanxi YANG, Jinguang JIANG, Meilin HE, "Carrier-Phase Multipath Mitigation Based on Adaptive Wavelet Packet Transform and TB Strategy" in IEICE TRANSACTIONS on Communications,
vol. E103-B, no. 5, pp. 591-599, May 2020, doi: 10.1587/transcom.2019EBP3125.
Abstract: The carrier-phase multipath effect can seriously affect the accuracy of GPS-based positioning in static short baseline applications. Although several kinds of methods based on time domain and spatial domain techniques have been proposed to mitigate this error, they are still limited by the accuracy of the multipath model and the effectiveness of the correction strategy. After analyzing the existing methods, a new method based on adaptive thresholding wavelet packet transform (AW) and time domain bootstrap spatial domain search strategy (TB) is presented (AWTB). Taking advantage of adaptive thresholding wavelet packet transform, we enhance the precision of the correction model and the efficiency of the extraction method. In addition, by adopting the proposed time domain bootstrap spatial domain strategy, the accuracy and efficiency of subsequent multipath correction are improved significantly. Specifically, after applying the adaptive thresholding wavelet packet method, the mean improvement rate in the RMS values of the single-difference L1 residuals is about 27.93% compared with the original results. Furthermore, after applying the proposed AWTB method, experiments show that the 3D positioning precision is improved by about 38.51% compared with the original results. Even compared with the method based on stationary wavelet transform (SWT), and the method based on wavelet packets denoising (WPD), the 3D precision is improved by about 26.94% over the SWT method and about 22.96% over the WPD method, respectively. It is worth noting that, although the mean time consumption of the proposed algorithm is larger than the original method, the increased time consumption is not a serious burden for overall performance.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2019EBP3125/_p
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@ARTICLE{e103-b_5_591,
author={Yanxi YANG, Jinguang JIANG, Meilin HE, },
journal={IEICE TRANSACTIONS on Communications},
title={Carrier-Phase Multipath Mitigation Based on Adaptive Wavelet Packet Transform and TB Strategy},
year={2020},
volume={E103-B},
number={5},
pages={591-599},
abstract={The carrier-phase multipath effect can seriously affect the accuracy of GPS-based positioning in static short baseline applications. Although several kinds of methods based on time domain and spatial domain techniques have been proposed to mitigate this error, they are still limited by the accuracy of the multipath model and the effectiveness of the correction strategy. After analyzing the existing methods, a new method based on adaptive thresholding wavelet packet transform (AW) and time domain bootstrap spatial domain search strategy (TB) is presented (AWTB). Taking advantage of adaptive thresholding wavelet packet transform, we enhance the precision of the correction model and the efficiency of the extraction method. In addition, by adopting the proposed time domain bootstrap spatial domain strategy, the accuracy and efficiency of subsequent multipath correction are improved significantly. Specifically, after applying the adaptive thresholding wavelet packet method, the mean improvement rate in the RMS values of the single-difference L1 residuals is about 27.93% compared with the original results. Furthermore, after applying the proposed AWTB method, experiments show that the 3D positioning precision is improved by about 38.51% compared with the original results. Even compared with the method based on stationary wavelet transform (SWT), and the method based on wavelet packets denoising (WPD), the 3D precision is improved by about 26.94% over the SWT method and about 22.96% over the WPD method, respectively. It is worth noting that, although the mean time consumption of the proposed algorithm is larger than the original method, the increased time consumption is not a serious burden for overall performance.},
keywords={},
doi={10.1587/transcom.2019EBP3125},
ISSN={1745-1345},
month={May},}
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TY - JOUR
TI - Carrier-Phase Multipath Mitigation Based on Adaptive Wavelet Packet Transform and TB Strategy
T2 - IEICE TRANSACTIONS on Communications
SP - 591
EP - 599
AU - Yanxi YANG
AU - Jinguang JIANG
AU - Meilin HE
PY - 2020
DO - 10.1587/transcom.2019EBP3125
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E103-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2020
AB - The carrier-phase multipath effect can seriously affect the accuracy of GPS-based positioning in static short baseline applications. Although several kinds of methods based on time domain and spatial domain techniques have been proposed to mitigate this error, they are still limited by the accuracy of the multipath model and the effectiveness of the correction strategy. After analyzing the existing methods, a new method based on adaptive thresholding wavelet packet transform (AW) and time domain bootstrap spatial domain search strategy (TB) is presented (AWTB). Taking advantage of adaptive thresholding wavelet packet transform, we enhance the precision of the correction model and the efficiency of the extraction method. In addition, by adopting the proposed time domain bootstrap spatial domain strategy, the accuracy and efficiency of subsequent multipath correction are improved significantly. Specifically, after applying the adaptive thresholding wavelet packet method, the mean improvement rate in the RMS values of the single-difference L1 residuals is about 27.93% compared with the original results. Furthermore, after applying the proposed AWTB method, experiments show that the 3D positioning precision is improved by about 38.51% compared with the original results. Even compared with the method based on stationary wavelet transform (SWT), and the method based on wavelet packets denoising (WPD), the 3D precision is improved by about 26.94% over the SWT method and about 22.96% over the WPD method, respectively. It is worth noting that, although the mean time consumption of the proposed algorithm is larger than the original method, the increased time consumption is not a serious burden for overall performance.
ER -