摘要
针对舰船类目标运动情况比较复杂,进行逆合成孔径雷达(ISAR)成像时运动补偿比较困难的特点,将改进的自适应联合时频算法(AJTF)与强点处理(PPP)模型结合,通过遗传算法的全局搜索实现运动补偿,提高了运动补偿算法的快速性和精确性,为实现实时成像奠定了基础。试验数据的处理结果表明,算法可以有效地完成相位的补偿,提高ISAR成像质量。
Considering that it is difficult for radar to make the relative motion compensation in inverse synthetic aperture radar （ISAR） imaging due to the complex motion of ship-like targets. By combining the improved adaptive joint time frequency （AJTF） and prominent point processing （ PPP）, motion compensation is achieved with the general search of genetic algorithms, which improves the speed and the accuracy and makes it possible to realize real time imaging. Test data processing results show that this algorithm can effectively complete real timed phase compensation and improve the ISAR image quality.
出处
《现代防御技术》
北大核心
2013年第1期47-52,共6页
Modern Defence Technology
关键词
逆合成孔径雷达成像
自适应联合时频算法
运动补偿
遗传算法
inverse synthetic aperture radar（ISAR） imaging
adaptive joint time frequency（AJTF） algorithms
motion compensation
genetic algorithm
