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Experimental results and analysis of sparse microwave imaging from spaceborne radar raw data

Science china(Information Sciences) 2012年第8期55卷 1801-1815页

作者： JIANG ChengLong1,2.3,ZHANG BingChen1,2.ZHANG Zhe1,2.3,HONG Wen1,2.WU YiRong1,2.1S cience and Technology on Microwave Imaging Laboratory,beijing 100190,china 2. nstitute of Electronics,Chinese Academy of Sciences,beijing 100190,china 3G raduate university of Chinese Academy of Sciences,beijing 100190,china 1. Science and Technology on Microwave Imaging Laboratory Beijing 100190 China2. Institute of Electronics Chinese Academy of Sciences Beijing 100190 China3. Graduate University of Chinese Academy of Sciences Beijing 100190 China

Sparse microwave imaging is a novel radar framework aiming to bring revolutions to the microwave imaging according to the theory of sparse signal *** compressive sensing(CS)is introduced to synthetic aperture radar(SAR)imaging in recent years,the current SAR sparse imaging methods have shown their advantages over the traditional matched filtering ***,the requirement for these methods to process the compressed range data results in the increase of the hardware *** the SAR sparse imaging method that directly uses the raw data is *** paper describes the method of SAR sparse imaging with raw data directly,presents the analysis of the signal-to-noise ratio(SNR)in the echo signal by combining the traditional radar equation with the compressive sensing theory,and provides the tests on 2.D simulated SAR *** simulation results demonstrate the validity of the SNR analysis,and the good performance of the proposed method while a large percentage of the raw data is *** experiment with RadarSat-1 raw data is also carried out to show the feasibility of processing the real SAR data via the method proposed in this *** method is helpful for designing new SAR systems.

关键词： sparse microwave imaging synthetic aperture radar(SAR)imaging compressive sensing signalto-noise ratio raw data

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Analysis and identification for the electromagnetic ultrasonic interfacial echoes using instantaneous spectrum and artificial neural network

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Chinese Journal of Acoustics 2008年第3期27卷 222-230页

作者： SONG Weihua WANG Xiaomin LI Mingxuan Institute of Acoustics The Chinese Academy of Sciences Beijing 100080 ~raduate School of the Chinese Academy of Sciences beijing 10002.

The proper frequency is experimentally chosen to be the operation frequency of the electromagnetic acoustic transducer. The instantaneous amplitude, phase and frequency of the detected ultrasonic echoes from a multilayer adhesive sample of steel and rubber materials are calculated and composed to form three-dimensional instantaneous spectrum which is successful to distinguish the testing signals from different adhesive states qualitatively. Then, average instantaneous parameters in sensitive time window are picked up and used as the input eigenvectors for the BP artificial neural network. Identified results in both training and testing volumes demonstrate that the detected electromagnetic ultrasonic interracial echoes can be identified and classified automatically with the correctness ratio larger than 95%.

关键词： BP artificial neural network time window

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