摘要
逆合成孔径成像激光雷达(Inverse Synthetic Aperture Imaging Lidar,ISAIL)的回波信号在距离-多普勒(Range-Doppler,R-D)域具有稀疏性,由此本文提出一种以稀疏性为全局约束条件的相位校正算法,并引入正则化方法解决此问题.在算法的实现过程中引入了Hadamard乘法和快速傅立叶变换,提高了算法的运算速率.与传统的ISAIL成像算法相比,此算法可以在低信噪比或回波存在缺失的情况下得到聚焦良好的目标像.仿真及实测数据验证了算法的可行性和有效性.
Due to the sparsity of inverse synthetic aperture imaging lidar（ISAIL） echoes in range-Doppler（R-D） plane,a phase adjustment algorithm for ISAIL is proposed.The sparsity is used as a global constraint condition for phase adjustment,then the regularization method is brought in to solve this optimization problem.Hadamard multiplication and fast Fourier transform are applied to improve the computation efficiency.Compared with the traditional ISAIL imaging algorithm,image of target is well focused by our method under the condition of low SNR or lack of echoes.The ISAIL imaging experiments with numerical and measured data validate the feasibility and effectiveness of the proposed algorithm.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2011年第6期1272-1277,共6页
Acta Electronica Sinica
基金
国家部委"973"项目(No.2010CB731903)
国家自然科学基金(No.61001210)
中央高校基本科研业务(No.K50510050008)
关键词
逆合成孔径成像激光雷达
相位校正
稀疏
正则化
inverse synthetic aperture imaging lidar
phase adjustment
sparsity
regularization
