基于AJTF的ISAR成像算法研究

Research on ISAR Imaging Algorithm Based on AJTF

自适应联合时间-频率(AJTF)分析是一种被证实了的基于刚体目标二维运动模型的逆合成孔径雷达(ISAR)成像算法,但它在进行运动补偿参数搜索时使用的穷尽搜索方法收敛不稳定且计算量较大。介绍了一种改进的AJTF算法,它用粒子群优化方法进行运动补偿参数的搜索,提高了算法的稳定性和效率。仿真结果证明了该算法的优越性。

Adaptive joint time-frequency （AJTF） analysis is a proved imaging algorithm for inverse synthetic aperture radar（ISAR） based on the 2D motive model of a rigid target,but the convergence of the exhaustive searching method used in motion compensation parameters searching is not always reliable and the calculation quantity of it is large. This paper introduces an improved AJTF algorithm,which uses the particle swarm optimization（PSO） method to search the motion compensation parameter,which improves the stability and efficiency of AJTF algorithm. Simulation result indicates the superiority of the algorithm.