西安电子科技大学学报（自然科学版）2016，Vol.43Issue(5)：24-30,7.DOI:10.3969/j.issn.1001-2400.2016.05.005
利用HAF-LVD特性的复杂运动目标ISAR成像算法
ISAR imaging algorithm for targets with the complex motion based on the high-order ambiguity function-Lv's distribution
摘要
Abstract
In ISAR imaging for targets with the complex motion , since the azimuth high order phase terms caused by the time‐varying rotation vector will deteriorate the azimuth focusing quality , the traditional RD algorithm and LFM model are not appropriate . Thereby , in the case when the received signal can be modeled as cubic phase signals ( CPSs) , this paper proposes an ISAR imaging algorithm based on HAF‐LVD ( high‐order ambiguity function‐Lv's distribution) . First , this algorithm defines a novel double lag parametric instantaneous autocorrelation function , and then applies the scaling operator to remove the coupling and utilizes FFT to achieve the energy accumulation . Finally , the non‐searching estimation of the moving parameter and the ISAR images for targets are accomplished by the obtained HAF‐LVD . Because of the introduction of the scaling factor , this algorithm can flexibly deal with more changeful and hostile ISAR environment without loss of the anti‐noise performance and computational efficiency . Simulation results validate the effectiveness of the ISAR imaging approach .关键词
逆合成孔径雷达/立方相位信号/双延时参数化瞬时自相关函数/变尺度操作/高阶模糊函数-吕Key words
inverse synthetic aperture radar/cubic phase signal/double lag parametric instantaneous autocorrelation function/scaling operator/high-order ambiguity function-Lv's distribution ( HAF-LVD)分类
信息技术与安全科学引用本文复制引用
吕倩,苏涛,吴凯,章建成..利用HAF-LVD特性的复杂运动目标ISAR成像算法[J].西安电子科技大学学报（自然科学版）,2016,43(5):24-30,7.基金项目
国家自然科学基金资助项目（61271024，61201283）；新世纪优秀人才支持计划资助项目 （）
