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SAR tomography imaging via higher-order spectrum analysis 被引量:2

SAR tomography imaging via higher-order spectrum analysis
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摘要 To deal with the non-Caussian noise in standard 2-D SAR images, the deramped signal in imaging plane, and the possible symmetric distribution of complex noise, the fourth-order cumulant of complex process is introduced into SAR tomography. With the estimated AR parameters of ARMA model of noise through Yule-Walker equation, the signal series of height is pre-filtered. Then, through ESPRIT, the spectrum is obtained and the aperture in height direction is synthesized. Finally, the SAR tomography imaging of scene is achieved. The results of processing on signal with non-Gaussian noise demonstrate the robustness of the proposed method. The tomography imaging of the scenes shows that the higher-order spectrum analysis is feasible in the application. To deal with the non-Caussian noise in standard 2-D SAR images, the deramped signal in imaging plane, and the possible symmetric distribution of complex noise, the fourth-order cumulant of complex process is introduced into SAR tomography. With the estimated AR parameters of ARMA model of noise through Yule-Walker equation, the signal series of height is pre-filtered. Then, through ESPRIT, the spectrum is obtained and the aperture in height direction is synthesized. Finally, the SAR tomography imaging of scene is achieved. The results of processing on signal with non-Gaussian noise demonstrate the robustness of the proposed method. The tomography imaging of the scenes shows that the higher-order spectrum analysis is feasible in the application.
出处 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2009年第4期748-754,共7页 系统工程与电子技术(英文版)
基金 supported partly by the New Century Excellent Talents in University(23901019) the Sichuan Provincial Youth Science and Technology Foundation(06ZQ026-006).
关键词 synthetic aperture radar 3-D imaging TOMOGRAPHY high-order spectrum analysis nongaussian synthetic aperture radar, 3-D imaging, tomography, high-order spectrum analysis, nongaussian
作者简介 Wang Jinfeng was born in 1979. He is currently pursuing the Ph.D. degree in the University of Electronic Science and Technology of China (UESTC). His main research interest is in the field of 3-D SAR imaging. E-mail: genfo@163.comPi Yiming was born in 1968. He received his Ph.D. degree in telecommunication from UESTC in 1993. He is currently a professor in the School of Electronic Engineering of UESTC. His research interests include signal and image processing, SAR imaging, and remote sensing.
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