NDLI: Sparse recovery-based space-time adaptive processing with array error self-calibration

Content Provider	IET Digital Library
Author	Ma, Zeqiang Liu, Yimin Meng, Huadong Wang, Xiqin
Abstract	A sparse recovery-based space-time adaptive processing approach for airborne array radars with array amplitude/phase error self-calibration is proposed. The amplitude/phase error of the array is considered, and the clutter characteristic, i.e. the clutter space-time spectrum, is estimated as a sparse recovery problem with perturbations in the basis matrix and additive measurement noise. An optimisation problem is formulated to estimate the clutter space-time spectrum and array error parameters simultaneously. An iterative alternating descent sparse recovery algorithm to solve the problem is developed. The numerical results indicate that the algorithm can realise array error self-calibration, and thus can obtain accurate clutter characteristic estimation for better clutter suppression.
Starting Page	952
Ending Page	954
Page Count	3
ISSN	00135194
Volume Number	50
e-ISSN	1350911X
Issue Number	Issue 13, Jun (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/50/13
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2014.0315
Journal	Electronics Letters
Publisher Date	2014-06-06
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Additive Measurement Noise Airborne Array Radar Airborne Radar Array Amplitude-phase Error Self-calibration Array Error Parameter Basis Matrix Calibration Clutter Characteristic Clutter Space-time Spectrum Estimation Clutter Suppression Electromagnetic Compatibility Gradient Method Interference Interference Suppression Interpolation And Function Approximation Iterative Alternating Descent Sparse Recovery Algorithm Linear Algebra Matrix Algebra Measurement Error Numerical Analysis Optimisation Optimisation Problem Optimisation Technique Phased Array Radar Radar Clutter Radar Detection Radar Equipment Signal Detection Space-time Adaptive Processing Sparse Recovery-based Space-time Adaptive Processing System And Application
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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