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| Imaging Algorithm of Millimeter-wave LFMCW Radar for Water Surface Texture Detection |
| WEI Xiangfei①②③ CHONG Jinsong①② WANG Xiaoqing④ LI Yuan①② MENG Hui①②③ |
①(Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China)
②(National Key Laboratory of Science and Technology on Microwave Imaging, Beijing 100190, China)
③(University of Chinese Academy of Sciences, Beijing 100190, China)
④(Institute of Microelectronics, Chinese Academy of Sciences, Beijing 100029, China) |
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Abstract In the application of millimeter-wave Linear Frequency Modulated Continuous Wave (LFMCW) radar for water surface detection, the echo of water surface itself is always covered by the echo of stationary targets and noises, leading to the result that water surface texture can hardly be seen in the figures obtained by the conventional imaging algorithm. To solve this problem, an imaging algorithm of millimeter-wave LFMCW radar for water surface texture is proposed, the Dechirp technique is adopted to complete the range compression in range direction, and the data is divided into blocks to be dealt with separately in azimuth direction. During the processing in azimuth direction, interference from static targets is removed in frequency domain according to the fact that stationary targets and moving targets have different Doppler frequencies; then, based on the electromagnetic scattering characteristic of water surface, a maximum likelihood estimation method is used to estimate azimuth spectrum parameters to calculate the energy of water surface echo. The proposed algorithm is used to process measured data, and the results show that water surface texture can be obtained, which means that the proposed algorithm is superior to the traditional one.
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Received: 29 June 2016
Published: 02 December 2016
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| Fund: The Foundation of National Key Laboratory of Science and Technology on Microwave Imaging (CXJJ_15S119) |
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Corresponding Authors:
CHONG Jinsong
E-mail: iecas_chong@163.com
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