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- W2182064914 abstract "High resolution range profile (HRRP) is being known as one of the most powerful tools for radar target recognition. The main problem with range profile for radar target recognition is its sensitivity to aspect angle. To over- come this problem, consecutive samples of HRRP were assumed to be identically independently distributed (IID) in small frames of aspect angles in most of the related works. Here, considering the physical circumstances of maneuver of an aerial target, we have proposed dynamic system which models the short dependency between consecutive samples of HRRP in segments of the whole HRRP se- quence. Dynamic system (DS) is used to model the se- quence of PCA (principal component analysis) coefficients extracted from the sequence of HRRPs. Considering this we have proposed a model called PCA+DS. We have also proposed a segmentation algorithm which segments the HRRP sequence reliably. Akaike information criterion (AIC) used to evaluate the quality of data modeling showed that our PCA+DS model outperforms factor analysis (FA) model. In addition, target recognition results using simu- lated data showed that our method based on PCA+DS achieves better recognition rates compared to the method based on FA." @default.
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- W2182064914 date "2014-04-01" @default.
- W2182064914 modified "2023-09-23" @default.
- W2182064914 title "Radar HRRP Modeling using Dynamic System for Radar Target Recognition" @default.
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