迭代收缩阈值雷达前视成像方法  

Iterative Shrinkage Thresholding Radar Forward-looking Imaging Method

作　　者：焦淑红[1] 唐琳[1] 齐欢[1] 刘学[2] 

机构地区：[1]哈尔滨工程大学信息与通信工程学院 [2]中国人民解放军92941部队

出　　处：《航空学报》2014年第12期3384-3391,共8页Acta Aeronautica et Astronautica Sinica

基　　金：国家自然科学基金(61201410)~~

摘　　要：针对机载多通道雷达的扫描前视成像问题,研究了利用迭代收缩阈值算法实现单个通道前视成像的方法,在此基础上提出一种扩展的多通道迭代收缩阈值算法来解决多通道前视成像问题,在理论上证明其收敛性,并给出加快收敛速度的方法。该算法首先通过对各个通道的加权叠加,获得多通道雷达最小均方误差意义下的最优解;然后利用目标的稀疏表示,获得最优解在相应稀疏约束下的稀疏解。理论分析和仿真实验表明,相对于现有扫描雷达前视成像方法,所提方法在算法稳定性、场景复原能力和噪声抑制能力等方面具有明显的优势。Aimed at the airborne multi-channel scanning radar forward looking imaging problem,the mono-channel forward looking imaging method using iterative shrinkage thresholding algorithm is researched.An extended multi-channel iterative shrinkage thresholding algorithm is proposed for multi-channel forward-looking imaging problem.Its convergence is proven theoretically and a speed up method is also given.First,the optimal solution of multi-channel radar in the sense of minimum mean square error is obtained by the weighted superposition of each channel,and then the sparse solution access to the optimal solution in the corresponding sparse constraints is obtained using the target sparse representation.Theoretical analysis and simulation results show that the new method has obvious advantages in algorithm stability,scenes recovery ability and noise immunity compared with the pre-existing scanning radar forward-looking imaging methods.

关 键 词：雷达成像 单脉冲雷达 反解卷积 稀疏约束 迭代收缩阈值算法 

分 类 号：V243.2[航空宇航科学与技术—飞行器设计] TN959.73[电子电信—信号与信息处理]