迭代收缩阈值雷达前视成像方法
收稿日期: 2014-01-22
修回日期: 2014-04-25
网络出版日期: 2014-04-28
基金资助
国家自然科学基金(61201410)
Iterative Shrinkage Thresholding Radar Forward-looking Imaging Method
Received date: 2014-01-22
Revised date: 2014-04-25
Online published: 2014-04-28
Supported by
National Natural Science Foundation of China (61201410)
焦淑红 , 唐琳 , 齐欢 , 刘学 . 迭代收缩阈值雷达前视成像方法[J]. 航空学报, 2014 , 35(12) : 3384 -3391 . DOI: 10.7527/S1000-6893.2014.0073
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.
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