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作 者:甘泳机 尹成友 范启蒙 李安琪 GAN Yong-ji;YIN Cheng-you;FAN Qi-meng;LI An-qi(Electronic Countermeasure Institute,National University of Defense Technology,Hefei 230037,China)
出 处:《微波学报》2020年第4期25-32,共8页Journal of Microwaves
摘 要:目前的常规算法都不能有效解决电大目标的逆散射成像问题。提出了一种基于线性采样方法(LSM)和对比度源反演(CSI)方法的混合成像方法。首先用LSM截断阈值确定目标所在区域,在目标区域赋对比度固定值,然后用这个结果取代后向传播解作为初值进行CSI迭代,重建目标的对比度分布。用遗传算法对截断阈值和赋的对比度固定值进行优化,得到这两个值的最佳参数选择。仿真结果显示该方法对电大目标甚至能做到精确重建,在有噪情况下也能得到比后向传播解作初值更好的结果。At present,conventional algorithms can't effectively solve the inverse scattering imaging problem of electrically large objects.A hybrid imaging method based on linear sampling method(LSM)and contrast source inversion(CSI)is proposed.First,LSM truncation threshold is used to determine the object region,and a fixed value of contrast is assigned to the object region.Then,CSI iteration is carried out with this result instead of back propagation solution as the initial value to reconstruct the contrast distribution.Genetic algorithm is used to optimize the truncation threshold and the fixed contrast value,and the best choice of these two parameters is obtained.The simulation results show that the method can achieve accurately reconstruction for the electrically large object,and can get better results than the back propagation solution when there is noise.
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