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WANG Yunhua,LI Huimin,ZHANG Yanmin,GUO Lixin. 2015. The measurement of sea surface profile with X-band coherent marine radar. Acta Oceanologica Sinica, 34(9):65-70
The measurement of sea surface profile with X-band coherent marine radar
基于相参X-波段海洋雷达的海表轮廓测量研究
Received:August 20, 2014  Revised:January 05, 2015
DOI:10.1007/s13131-015-0731-7
Key words:X-band coherent marine radar  Doppler signal  sea surface profile  retrieval method
中文关键词:  相参X-波段海洋雷达  多普勒信号  海表轮廓  反演算法
基金项目:
Author NameAffiliationE-mail
WANG Yunhua Ocean Remote Sensing Institute, Ocean University of China, Qingdao 266100, China  
LI Huimin Ocean Remote Sensing Institute, Ocean University of China, Qingdao 266100, China  
ZHANG Yanmin Department of Physics, Ocean University of China, Qingdao 266100, China yanminzhang@163.com 
GUO Lixin School of Physics and Optoelectronic Engineering, Xidian University, Xi'an 710071, China  
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Abstract:
      The line-of-sight velocity of scattering facets is related to the Doppler signals of X-band coherent marine radar from the oceanic surface. First, the sign Doppler Estimator is applied to estimate the Doppler shift of each radar resolution cell. And then, in terms of the Doppler shift, a retrieval algorithm extracting the vertical displacement of the sea surface has been proposed. The effects induced by radar look-direction and radar spatial resolution are both taken into account in this retrieval algorithm. The comparison between the sea surface spectrum of buoy data and the retrieved spectrum reveals that the function of the radar spatial resolution is equivalent to a low pass filter, impacting especially the spectrum of short gravity waves. The experimental data collected by McMaster IPIX radar are also used to validate the performance of the retrieval algorithm. The derived significant wave height and wave period are compared with the in situ measurements, and the agreement indicates the practicality of the retrieval technology.
中文摘要:
      X-波段海洋雷达测量所得海面散射单元的多普勒信息与散射单元的雷达视向速度密切相关。首先,基于符号多普勒估计方法,对X-波段雷达海面回波的多普勒频移信息进行了估计;在此基础上,应用各分辨单元回波的多普勒频移信息,建立了海浪表面轮廓的反演算法。该算法中,同时考虑了雷达入射角、方位角和雷达空间分辨率等因素对反演结果的影响。通过将反演结果与浮标测量数据相比较,发现雷达空间分辨率起到了类似低通滤波的作用,该作用对短重力波谱影响显著。同时,还应用加拿大麦克马斯特大学的IPIX雷达数据对海表轮廓进行了反演,并将反演所得有效波高、海浪周期与现场测量数据进行了比较,反演结果与现场测量结果吻合较好。
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