摘要
提出一种空间碎片SRMF-CLEAN成像算法.该算法成功地将太空碎片运动的先验知识纳入到雷达成像过程之内,成像中利用单距离匹配滤波(Single Range Matching Filtering,简称SRMF)快速算法有效提高了分辨率与成像速度,并采用点扩展函数参数化模型,通过修正CLEAN算法抑制点扩展函数扰动的影响.二者结合,有效地实现了太空碎片高分辨成像.理论推导和仿真结果验证了该方法的有效性.
A SRMF-CLEAN algorithm for space debris is proposed. The proposed algorithm can successfully incorporate prior information of space debris movement into imaging process. Together with single-range matching filtering （SRMF） fast algorithm, it can improve the resolution and imaging speed effectively. For point spread function parameterization model is used in the algorithm, the effect of point spread function disturbance can be inhibited by correcting CLEAN algorithm. Combination of the two algorithms can realize high resolution imaging for space debris effectively. Theoretic derivation and simulation result verify validness of this algorithm.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2007年第12期2412-2416,共5页
Acta Electronica Sinica
基金
重点实验室基金(No.9140C010205060C01)
自然科学青年基金项目(No.60502044)
