An improved model of HF-SAR for estimating surface current velocity

With the requirement of surface current extraction by a single station of high frequency surface wave radar, high frequency SAR (HF-SAR) is proposed and proved to be theoretically feasible. However the old model of HF-SAR is not perfect enough and there are several drawbacks such as Bragg scattering...

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Bibliographic Details
Main Authors: Huibin Peng, Wenhu Xue, Sanwen Zhu, Guishui Yu
Format: Conference Proceeding
Language:English
Subjects:
Chirp
Frequency estimation
HF Surface Wave
Iterative algorithms
Iterative methods
Parameter estimation
Radar scattering
Radar theory
SAR
Sea surface
surface current
Surface waves
Synthetic aperture radar
velocity estimation
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Summary:With the requirement of surface current extraction by a single station of high frequency surface wave radar, high frequency SAR (HF-SAR) is proposed and proved to be theoretically feasible. However the old model of HF-SAR is not perfect enough and there are several drawbacks such as Bragg scattering not included, high computation burden and implementation difficulty. Thus in this paper we present an improved model of HF-SAR to overcome the previous drawbacks. For the improved model, Bragg frequency is introduced into the echo signal and an iterative approach to estimate parameters of chirp signals is adopted for velocity estimation algorithms. Also an implementation scheme of HF-SAR on the sea is proposed. Simulation results with the improved model show that the precision of surface current velocity estimation is high enough to meet practical requirements.
DOI:10.1109/APSAR.2007.4418722