CAJ | 학술논문

提出了基于遗传算法进行逆合成孔径雷达运动补偿的新算法.针对遗传算法解的收敛性问题,在遗传算法中采用了最优个体保存策略,使得解以概率1收敛于全局最优解;针对遗传算法运算量大的问题,提出了采用运动补偿后最小熵和最小距离作为适应度函数,由此形成2种称为GAMCE和GAMCD的ISAR运动补偿新算法.仿真数据和实测数据验证了所提新算法的有效性.
제출료기우유전산법진행역합성공경뢰체운동보상적신산법.침대유전산법해적수렴성문제,재유전산법중채용료최우개체보존책략,사득해이개솔1수렴우전국최우해;침대유전산법운산량대적문제,제출료채용운동보상후최소적화최소거리작위괄응도함수,유차형성2충칭위GAMCE화GAMCD적ISAR운동보상신산법.방진수거화실측수거험증료소제신산법적유효성.
A new method of ISAR motion compensation based on genetic algorithm is suggested.Aiming to guarantee that GAMIC (genetic algorithm of minimum image entropy)and GAMIE(genetic algorithm of maximum image contrast)converges on the optimum solution,the best individual preserving tactic is adopted.To reduce the heavy computation load of GAMIC and GAMIE,the minimum range and the minimum entropy of the range compensation,instead of image,are taken as the fitness function of genetic algorithm.Owing to the improvements described above,two new ISAR motion compensation methods,named as GAMCD and GAMCE,are presented in this paper which ale verified by simulation data and real ISAR data.