%0 Journal Article %T Scattering Center Modeling Using Adaptive Segmental Compressive Sampling<br>Scattering Center Modeling Using Adaptive Segmental Compressive Sampling %A Qifeng Li %A Kunyi Guo %A Jiaxin Wang %A Xinqing Sheng %A Tianshu Liu %J 北京理工大学学报（自然科学中文版) %D 2017 %R 10.15918/j.jbit1004-0579.201726.0408 %X In order to deal with aliasing distortions of Doppler frequencies shown in time-frequency representation (TFR) with aspect undersampling, an approach using adaptive segmental compressive sampling according to the aspect dependencies of the scattering centers is proposed. The random noise problem induced by compressive sampling is solved by employing a series of signal processing techniques of filtering, image transformation and Hough Transform. Three examples are presented to verify the effectiveness of this approach. The comparisons between the built models and the precise scattered fields computed by a well-validated full-wave numerical method are investigated, and the results show good agreements between each other.<br>In order to deal with aliasing distortions of Doppler frequencies shown in time-frequency representation (TFR) with aspect undersampling, an approach using adaptive segmental compressive sampling according to the aspect dependencies of the scattering centers is proposed. The random noise problem induced by compressive sampling is solved by employing a series of signal processing techniques of filtering, image transformation and Hough Transform. Three examples are presented to verify the effectiveness of this approach. The comparisons between the built models and the precise scattered fields computed by a well-validated full-wave numerical method are investigated, and the results show good agreements between each other. %K scattering center undersampling compressive sensing time-frequency representation parameter estimation< %K br> %K scattering center undersampling compressive sensing time-frequency representation parameter estimation %U http://journal.bit.edu.cn/yw/bjlgyw/ch/reader/view_abstract.aspx?file_no=20170408&flag=1