NDLI: Analytic estimation performance bounds of downward-looking linear array 3-D SAR imaging based on compressive sensing

Content Provider	IEEE Xplore Digital Library
Author	Siqian Zhang Yutao Zhu Gangyao Kuang Lingjun Zhao
Copyright Year	2015
Description	Author affiliation: Coll. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China (Siqian Zhang; Yutao Zhu; Gangyao Kuang; Lingjun Zhao)
Abstract	For downward-looking linear array three-dimensional SAR, the resolution in cross-track direction is a curial problem. Hence, compressive sensing algorithm has been used to acquire the superresolution performance in cross-track direction. The limits of the proposed algorithm are investigated in this paper. How accurately can the scattering intensity of the scatterers be estimated? What is the closest separable distance of two scatterers at different levels of SNR? What is the influence of the acquisitions N on the resolution? For all of these questions, the theoretical analysis is given by Cramér-Rao Bound and numerical simulations are proven. The results can be considered as a fundamental bound on parameter estimates.
Starting Page	3179
Ending Page	3182
File Size	219208
Page Count	4
File Format	PDF
e-ISBN	9781479979295
DOI	10.1109/IGARSS.2015.7326493
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-26
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image resolution Signal to noise ratio Synthetic aperture radar Arrays Signal resolution Scattering Estimation spectral estimation Three-dimensional SAR compressive sensing (CS) superresolution
Content Type	Text
Resource Type	Article

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