摘要
逆合成孔径雷达(ISAR)对舰船成像依靠舰船与雷达视线之间的相对转动,它由舰船航行和海浪作用下舰船自身摇摆产生的转动组成。本文选取舰船上的强点单元来估计目标的多普勒中心。根据曲线把整个慢时间分成若干时间段,选取最佳时间段进行瞬时成像,此算法将大大提高成像效率。通过仿真验证了该方法的有效性,可在未知海情下获得舰船的像,有利于舰船目标的进一步识别。
Inverse synthetic aperture radar（ISAR） imaging against ship targets depends on relative turning between ship and line of sight of radar,the turning is composed of ship sailing and ship sway due to ocean waves.Strong point cell is chosen for target Doppler centroid estimation.Slow-time is divided to several time-intervals based on curve,and an optimal interval is selected for instantaneous ship imaging.This algorithm can improve imaging efficiency significantly.Simulation experiment verified that the algorithm is effective;and ship image can be obtained under unknown sea situation,which is benefit for further target identification.
出处
《火控雷达技术》
2011年第1期55-59,共5页
Fire Control Radar Technology
关键词
逆合成孔径雷达(ISAR)
强点单元
多普勒中心估计
时间段选择
舰船瞬时成像
inverse synthetic aperture radar（ISAR）
strong point cell
Doppler centroid estimation
time interval selection
instantaneous ship imaging
