摘要
高分辨一维距离像是空间目标故障诊断与识别的重要手段。针对典型的空间目标 ,文章采用稀疏成份分析法研究了一维距离像的超分辨重构和特征提取问题。将处理实信号的基寻踪方法推广到复信号 ,并利用约束最小二乘解提出了一种次优的距离像重构算法 ,实现了空间目标散射中心的有效分离。数值结果验证了其合理性和有效性。
High Range Resolution(HRR)profile is an important feature for the fault diagnosis and identification of space target. Aiming at the classic space targets, this paper discusses the reconstruction and feature extraction of HRR profiles by sparse component analysis. The basis pursuit method which processes real signal is generalized to complex-valued radar returns, subsequently a suboptimal supperreolution algorithm to reconstruct HRR profiles is presented on the basis of constrained least square solution, which can effectively separate the dominant scatters of space target. The numeric results prove the reasonability and validity.
出处
《中国空间科学技术》
EI
CSCD
北大核心
2004年第6期19-24,共6页
Chinese Space Science and Technology
