摘要
在研究时变自回归模型及非平稳信号时变频率估计的基础上,提出一种基于时变自回归模型的编队目标架次检测新方法.该方法利用时变自回归模型在短数据情况下可精确描述非平稳信号时频特性的优势,融合回波信号时变频率的精确估计和编队目标在距离上的分辨性能,检测编队目标架次.实测数据实验实现了短数据情况下的4架次编队目标架次检测.
Based on the study of the time-varying autoregressive model （TVAR） and instantaneous frequency estimation of non-stationary signals, a TVAR model based radar targets detection in the formation is proposed, which takes the advantage of the TVAR model for the accurate description of a non-stationary signal and fuses the precise estimation of instantaneous frequency of the echoes and the resolution in range of targets in the formation, and hence the targets detection in both range and Doppler frequency dimensions. Experimental results on some actual echoes data illustrate the effectiveness of the method, and a reliable detection of a four-target formation is achieved with a series of 64 echoes.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2006年第4期514-519,共6页
Journal of Xidian University
基金
国家部委预研基金资助项目(51407030103DZ0117)
关键词
雷达目标检测
时变自回归模型
瞬时频率估计
时频分析
radar targets detection
time-varying autoregressive model
frequency estimation
time-frequency analysis
