NDLI: ISAR imaging and cross-range scaling of high-speed manoeuvring target with complex motion via compressive sensing

Content Provider	IET Digital Library
Author	Kang, Min Seok Kim, Kyung Tae
Abstract	For targets with extreme manoeuvres, inverse synthetic aperture radar (ISAR) imaging suffers from translational motion (TM), which is modelled as a one-dimensional (1D) phase error, and non-uniform rotational motion (RM), which is a multidimensional (MD) phase error that causes severe blurring in ISAR images. Full-aperture data collection is often unachievable because of interference with other radar activities, resulting in sparse-aperture (SA) data. In this study, the authors present a new framework for SA-ISAR imaging and cross-range scaling for manoeuvring targets based on compressive sensing. Instead of solving conventional optimisation problems constrained by a sparsity of signals, the proposed method utilises the sensing-matrix estimation technique for ISAR image reconstruction using parametric signal-model reconstruction. To do this, it looks for basis functions that best represent the behaviour of a sensing-dictionary matrix comprising the observed SA data. The sensing-matrix reconstruction is based on a modified orthogonal matching pursuit-type basis function-searching scheme. Finally, they generate a well-focused and scaled ISAR image from the recovered complete ISAR signal using the conventional Fourier transform after the removal of signals corresponding to 1D TM and MD RM phase errors. They utilise both simulated and real measured datasets to confirm the effectiveness of proposed method.
Starting Page	301
Ending Page	311
Page Count	11
ISSN	17518784
Volume Number	12
e-ISSN	17518792
Issue Number	Issue 3, Mar (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/12/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2017.0286
Journal	IET Radar, Sonar & Navigation
Publisher Date	2017-11-15
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	1D Phase Error Combinatorial Mathematics Compressed Sensing Compressive Sensing Cross-range Scaling Electromagnetic Compatibility Estimation Theory Fourier Transform Fourier Transforms Full-aperture Data Collection High-speed Complex Motion Manoeuvring Target Image Blurring Image Motion Analysis Image Reconstruction Image Restoration Integral Transforms in Numerical Analysis Interference Interpolation And Function Approximation Inverse Synthetic Aperture Radar Imaging ISAR Imaging Iterative Method Linear Algebra Matrix Algebra MD Phase Error Modified Orthogonal Matching Pursuit-type Basis Function-searching Scheme Multidimensional Phase Error Nonuniform Rotational Motion Numerical Analysis One-dimensional Phase Error Optical, Image And Video Signal Processing Optimisation Optimisation Problem Optimisation Technique Parametric Signal-model Reconstruction Radar Equipment Radar Imaging Radar Interference Radar Receiver RM SA Data Search Problem Sensing-dictionary Matrix Behavior Sensing-matrix Estimation Technique Sparse-aperture Data Statistics Synthetic Aperture Radar System And Application Time-frequency Analysis Translational Motion
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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