所属单位：航天学院
发表刊物：Lect. Notes Electr. Eng.
摘要：Compressed sensing (CS) theory describes the signal using space transformation to obtain linear observation data selectively, breaking through the limit of the traditional Nyquist theorem. In this paper, we aim at accelerating the current approximate message passing (AMP) and propose an approach named real-valued AMP (RAMP) for faster and better inverse synthetic aperture radar (ISAR) imaging reconstruction. The azimuth dictionary is first processed with real. We then use matrix processing to solve the AMP vector iterative method, by utilizing the relation between the quantification of matrix product and the Kronecker product. The experimental results are presented to demonstrate the validity of this method. © 2020, Springer Nature Singapore Pte Ltd.
ISSN号：1876-1100
是否译文：否
发表时间：2020-01-01
合写作者：Wei, Wenyi,Wang, Jianing,Li, Xiaofei,Sheng, Yuebin,Liu, Chunsheng,Huang, Panpan
通讯作者：王彩云
发表时间：2020-01-01