Two-Step Frequency Estimation of GNSS Signal in High-Dynamic Environment
To improve frequency accuracy which is affected by two parameters in high-dynamic acquisition, we propose a two-step frequency estimation method based on the mean frequency (MF) model for high-dynamic parameters estimation. The first step is based on the discrete chirp-Fourier transform (DCFT) for c...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2022/1017206 |
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| _version_ | 1832549065819160576 |
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| author | Chao Wu Yafeng Li Liyan Luo Jian Xie Ling Wang |
| author_facet | Chao Wu Yafeng Li Liyan Luo Jian Xie Ling Wang |
| author_sort | Chao Wu |
| collection | DOAJ |
| description | To improve frequency accuracy which is affected by two parameters in high-dynamic acquisition, we propose a two-step frequency estimation method based on the mean frequency (MF) model for high-dynamic parameters estimation. The first step is based on the discrete chirp-Fourier transform (DCFT) for coarse MF estimation, where the MF accuracy and frequency search step are derived. In the second step, the maximum likelihood estimation process (MLEP) is adopted for fine MF estimation. Compared with state-of-art methods, it is verified that the two-step method can improve the detection probability in coarse MF estimation and improve the MF accuracy with low computational burdens under conditions with a moderate signal-to-noise ratio (SNR). |
| format | Article |
| id | doaj-art-ee1a6f5acb2944dda470f2cabc70c577 |
| institution | Kabale University |
| issn | 1687-5877 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-ee1a6f5acb2944dda470f2cabc70c5772025-02-03T06:12:25ZengWileyInternational Journal of Antennas and Propagation1687-58772022-01-01202210.1155/2022/1017206Two-Step Frequency Estimation of GNSS Signal in High-Dynamic EnvironmentChao Wu0Yafeng Li1Liyan Luo2Jian Xie3Ling Wang4School of Communication EngineeringSchool of AutomationProvincial Ministry of Education Key Laboratory of Cognitive Radio and Signal ProcessingSchool of Electronic InformationSchool of Electronic InformationTo improve frequency accuracy which is affected by two parameters in high-dynamic acquisition, we propose a two-step frequency estimation method based on the mean frequency (MF) model for high-dynamic parameters estimation. The first step is based on the discrete chirp-Fourier transform (DCFT) for coarse MF estimation, where the MF accuracy and frequency search step are derived. In the second step, the maximum likelihood estimation process (MLEP) is adopted for fine MF estimation. Compared with state-of-art methods, it is verified that the two-step method can improve the detection probability in coarse MF estimation and improve the MF accuracy with low computational burdens under conditions with a moderate signal-to-noise ratio (SNR).http://dx.doi.org/10.1155/2022/1017206 |
| spellingShingle | Chao Wu Yafeng Li Liyan Luo Jian Xie Ling Wang Two-Step Frequency Estimation of GNSS Signal in High-Dynamic Environment International Journal of Antennas and Propagation |
| title | Two-Step Frequency Estimation of GNSS Signal in High-Dynamic Environment |
| title_full | Two-Step Frequency Estimation of GNSS Signal in High-Dynamic Environment |
| title_fullStr | Two-Step Frequency Estimation of GNSS Signal in High-Dynamic Environment |
| title_full_unstemmed | Two-Step Frequency Estimation of GNSS Signal in High-Dynamic Environment |
| title_short | Two-Step Frequency Estimation of GNSS Signal in High-Dynamic Environment |
| title_sort | two step frequency estimation of gnss signal in high dynamic environment |
| url | http://dx.doi.org/10.1155/2022/1017206 |
| work_keys_str_mv | AT chaowu twostepfrequencyestimationofgnsssignalinhighdynamicenvironment AT yafengli twostepfrequencyestimationofgnsssignalinhighdynamicenvironment AT liyanluo twostepfrequencyestimationofgnsssignalinhighdynamicenvironment AT jianxie twostepfrequencyestimationofgnsssignalinhighdynamicenvironment AT lingwang twostepfrequencyestimationofgnsssignalinhighdynamicenvironment |