Design and Verification of Retracking Estimator for Synthetic Aperture Altimeter Based on Weighted Least Squares

WANG Jiaming; XU Ke; JIANG Maofei

doi:10.11999/JEIT210354

Volume 44 Issue 6

Jun. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(6): 2135-2142

WANG Jiaming, XU Ke, JIANG Maofei. Design and Verification of Retracking Estimator for Synthetic Aperture Altimeter Based on Weighted Least Squares[J]. Journal of Electronics & Information Technology, 2022, 44(6): 2135-2142. doi: 10.11999/JEIT210354

Citation:

WANG Jiaming, XU Ke, JIANG Maofei. Design and Verification of Retracking Estimator for Synthetic Aperture Altimeter Based on Weighted Least Squares[J]. Journal of Electronics & Information Technology, 2022, 44(6): 2135-2142. doi: 10.11999/JEIT210354

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Design and Verification of Retracking Estimator for Synthetic Aperture Altimeter Based on Weighted Least Squares

doi: 10.11999/JEIT210354

WANG Jiaming^{1, 2},
XU Ke^{1
,
,},
JIANG Maofei¹

1.
The CAS Key Laboratory of Microwave Remote Sensing, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China
2.
University of Chinese Academy of Sciences, Beijing 100049, China

Received Date: 2021-04-25
Rev Recd Date: 2021-08-12

Available Online: 2021-09-03

Publish Date: 2022-06-21

Abstract

Abstract

Retracking is an important step to extract accurate parameter estimation of the altimeter echo signals. The existing retracking estimators of Synthetic Aperture Radar (SAR) altimeter are mainly based on the least square method, which does not consider the influence of the different statistical characteristics of each range bin of the altimeter on the parameter estimation accuracy. At the same time, the existing weighted least squares retracking estimator uses a semi-analytical model, which is inefficient and inconvenient be applied to practice. In this paper, a new kind of weighted method is designed by using the analytical SAR Altimetry MOde Studies and Applications (SAMOSA) echo model for data processing. The weighting process makes the statistical characteristics of each range bin of the altimeter consistent, thereby improving the estimation accuracy of the range and significant wave height of the retracking estimator. The method is verified by Sentinel-3A satellite data, and the verification results show that the estimation accuracy of the two parameters, range and significant wave height, are improved: at 2 m significant wave height, the range accuracy is improved by 9%, and the significant wave height accuracy is improved by 11%; at 4 m significant wave height, the range accuracy is improved by 13%, and the significant wave height accuracy is improved by 20%.

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References(15)

References

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