Improving the iGNSS-R Ocean Altimetric Precision Based on the Coherent Integration Time Optimization Model
Improving the altimetric precision under the requirement of ensuring the along-track resolution is of great significance to the application of iGNSS-R satellite ocean altimetry. The results obtained by using the empirical integration time need to be improved. Optimizing the integration time can supp...
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2021
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oai:doaj.org-article:cc4aba40eac347b9a083b575e343d9e92021-11-25T18:55:41ZImproving the iGNSS-R Ocean Altimetric Precision Based on the Coherent Integration Time Optimization Model10.3390/rs132247152072-4292https://doaj.org/article/cc4aba40eac347b9a083b575e343d9e92021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/22/4715https://doaj.org/toc/2072-4292Improving the altimetric precision under the requirement of ensuring the along-track resolution is of great significance to the application of iGNSS-R satellite ocean altimetry. The results obtained by using the empirical integration time need to be improved. Optimizing the integration time can suppress the noise interference from different sources to the greatest extent, thereby improving the altimetric precision. The inverse relationship between along-track resolution and signal integration time leads to the latter not being infinite. To obtain the optimal combination of integral parameters, this study first constructs an analytical model whose precision varies with coherent integration time. Second, the model is verified using airborne experimental data. The result shows that the average deviation between the model and the measured precision is about 0.16 m. The two are consistent. Third, we apply the model to obtain the optimal coherent integration time of the airborne experimental scenario. Compared with the empirical coherent integration parameters, the measured precision is improved by about 0.1 m. Fourth, the verified model is extrapolated to different spaceborne scenarios. Then, the optimal coherent integration time and the improvement of measured precision under various conditions are estimated. It was found that the optimal coherent integration time of the spaceborne scene is shorter than that of the airborne scene. Depending on the orbital altitude and the roughness of the sea surface, its value may also vary. Moreover, the model can significantly improve the precision for low signal-to-noise ratios. The coherent integration time optimization model proposed in this paper can enhance the altimetric precision. It would provide theoretical support for the signal optimization processing and sea surface height retrieval of iGNSS-R altimetry satellites with high precision and high along-track resolution in the future.Xuezhi SunWei ZhengFan WuZongqiang LiuMDPI AGarticlecoherent integration time optimization modelglobal navigation satellite systems reflectometry (GNSS-R)ocean altimetry precisionwaveform correlationsignal optimization processingScienceQENRemote Sensing, Vol 13, Iss 4715, p 4715 (2021) |
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coherent integration time optimization model global navigation satellite systems reflectometry (GNSS-R) ocean altimetry precision waveform correlation signal optimization processing Science Q |
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coherent integration time optimization model global navigation satellite systems reflectometry (GNSS-R) ocean altimetry precision waveform correlation signal optimization processing Science Q Xuezhi Sun Wei Zheng Fan Wu Zongqiang Liu Improving the iGNSS-R Ocean Altimetric Precision Based on the Coherent Integration Time Optimization Model |
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Improving the altimetric precision under the requirement of ensuring the along-track resolution is of great significance to the application of iGNSS-R satellite ocean altimetry. The results obtained by using the empirical integration time need to be improved. Optimizing the integration time can suppress the noise interference from different sources to the greatest extent, thereby improving the altimetric precision. The inverse relationship between along-track resolution and signal integration time leads to the latter not being infinite. To obtain the optimal combination of integral parameters, this study first constructs an analytical model whose precision varies with coherent integration time. Second, the model is verified using airborne experimental data. The result shows that the average deviation between the model and the measured precision is about 0.16 m. The two are consistent. Third, we apply the model to obtain the optimal coherent integration time of the airborne experimental scenario. Compared with the empirical coherent integration parameters, the measured precision is improved by about 0.1 m. Fourth, the verified model is extrapolated to different spaceborne scenarios. Then, the optimal coherent integration time and the improvement of measured precision under various conditions are estimated. It was found that the optimal coherent integration time of the spaceborne scene is shorter than that of the airborne scene. Depending on the orbital altitude and the roughness of the sea surface, its value may also vary. Moreover, the model can significantly improve the precision for low signal-to-noise ratios. The coherent integration time optimization model proposed in this paper can enhance the altimetric precision. It would provide theoretical support for the signal optimization processing and sea surface height retrieval of iGNSS-R altimetry satellites with high precision and high along-track resolution in the future. |
format |
article |
author |
Xuezhi Sun Wei Zheng Fan Wu Zongqiang Liu |
author_facet |
Xuezhi Sun Wei Zheng Fan Wu Zongqiang Liu |
author_sort |
Xuezhi Sun |
title |
Improving the iGNSS-R Ocean Altimetric Precision Based on the Coherent Integration Time Optimization Model |
title_short |
Improving the iGNSS-R Ocean Altimetric Precision Based on the Coherent Integration Time Optimization Model |
title_full |
Improving the iGNSS-R Ocean Altimetric Precision Based on the Coherent Integration Time Optimization Model |
title_fullStr |
Improving the iGNSS-R Ocean Altimetric Precision Based on the Coherent Integration Time Optimization Model |
title_full_unstemmed |
Improving the iGNSS-R Ocean Altimetric Precision Based on the Coherent Integration Time Optimization Model |
title_sort |
improving the ignss-r ocean altimetric precision based on the coherent integration time optimization model |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/cc4aba40eac347b9a083b575e343d9e9 |
work_keys_str_mv |
AT xuezhisun improvingtheignssroceanaltimetricprecisionbasedonthecoherentintegrationtimeoptimizationmodel AT weizheng improvingtheignssroceanaltimetricprecisionbasedonthecoherentintegrationtimeoptimizationmodel AT fanwu improvingtheignssroceanaltimetricprecisionbasedonthecoherentintegrationtimeoptimizationmodel AT zongqiangliu improvingtheignssroceanaltimetricprecisionbasedonthecoherentintegrationtimeoptimizationmodel |
_version_ |
1718410553873924096 |