NDLI: Radar high-resolution range profiles target recognition based on stable dictionary learning

Content Provider	IET Digital Library
Author	Liu, Hong wei Feng, Bo Chen, Bo Du, Lan
Abstract	Sparse representation models based on dictionary learning have led to interesting results in signal restoration and target recognition. However, due to the redundancy defined by overcomplete dictionary atoms in new space, finding sparse representations from inaccurate measurements may cause uncertainty and ambiguity. Especially for radar automatic target recognition using high-resolution range profiles (HRRP), the target-aspect sensitivity, amplitude fluctuation and outliers in HRRPs could result in mismatch among the sparse representations of the same class and thus deteriorate the recognition performance. This article proposes a novel stable dictionary learning method to deal with this problem and improve the pattern recognition performance. The proposed method relies on the constraints that the sparse representations of adjacent HRRPs without scatterers’ motion through range cells should have the same support and lower variance. The structured sparse regularisation is then used to automatically select the optimal dictionary basis vectors for stable sparse coding. Experiments based on the measured HRRP dataset validate the performance of the proposed method. Moreover, encouraging results are reported with small training data size and under different signal-to-noise ratio conditions.
Starting Page	228
Ending Page	237
Page Count	10
ISSN	17518784
Volume Number	10
e-ISSN	17518792
Issue Number	Issue 2, Feb (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/10/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2015.0007
Journal	IET Radar, Sonar & Navigation
Publisher Date	2016-02-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Amplitude Fluctuation Code Data Size Encoding HRRP Optimal Dictionary Basis Vector Pattern Recognition Radar Automatic Target Recognition Radar Equipment Radar High Resolution Range Profile Target Recognition Radar Signal Processing Radar Target Recognition Scatterers Motion Signal to Noise Ratio Sparse Coding Sparse Representation Model Sparse Representations Stable Dictionary Learning Stable Dictionary Learning Method System And Application Target Aspect Sensitivity
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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