CAJ | 학술논문

当 ISAR 目标作复杂的三维转动时,目标上各散射点的相位误差将与它们在目标上所处的位置有关,传统的相位聚焦方法难以采用统一的相位校正函数来进行补偿.为解决此问题,论文提出了一种基于自适应 Chirplet信号分解的 ISAR 目标三维转动检测方法,该方法使用自适应 Chirplet 信号分解的快速算法来估计散射点子回波的相位信息,并根据两个散射点相位之间的非线性度来判断目标是否存在三维转动,从而只选择那些仅具有二维转动的数据段进行成像.仿真实验结果表明了它的有效性.
당 ISAR 목표작복잡적삼유전동시,목표상각산사점적상위오차장여타문재목표상소처적위치유관,전통적상위취초방법난이채용통일적상위교정함수래진행보상.위해결차문제,논문제출료일충기우자괄응 Chirplet신호분해적 ISAR 목표삼유전동검측방법,해방법사용자괄응 Chirplet 신호분해적쾌속산법래고계산사점자회파적상위신식,병근거량개산사점상위지간적비선성도래판단목표시부존재삼유전동,종이지선택나사부구유이유전동적수거단진행성상.방진실험결과표명료타적유효성.
In Inverse Synthetic Aperture Radar (ISAR) imaging, phase error caused by three-dimensional rotation is relevant to the position of the scatterer, so it is difficult to use traditional phase autofocus algorithms to complete phase compensation, in which the uniform phase correction function is applied. In order to resolve this problem, a three-dimensional rotation detection method is put forward to complete the selection of imaging times, in which the motion state of target is two-dimensional rotation. In this method, the phases of two arbitrary scatterers are estimated by adaptive Gaussian chirplet decomposition (AGCD) fast algorithm, and the target rotation state is obtained by measuring the non-linearity of the two phases, which means those intervals that the target just has two-dimensional rotation are selected to obtain the ISAR images. Numerical simulation results prove its good efficiency.