alexa Gravity Anomaly Data Reconstruction Based on Improved Interior Point Method in Airborne Gravimetry | OMICS International | Abstract
ISSN: 2165-784X

Journal of Civil & Environmental Engineering
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Research Article

Gravity Anomaly Data Reconstruction Based on Improved Interior Point Method in Airborne Gravimetry

Yapeng Yang* and Meiping Wu
Department of Automatic Control, College of Mechatronics and Automation, National University of Defense Technology, Deya Street 109, Changsha 410073, China
Corresponding Author : Yapeng Yang
Department of Automatic Control
College of Mechatronics and Automation
National University of Defense Technology
Deya Street 109, Changsha 410073, China
Tel: +86-137-8618-8163
Fax: +86-731-8457-6305 (ext. 8212)
E-mail: [email protected]
Received February 10, 2015; Accepted March 24, 2015; Published April 04, 2015
Citation: Yang Y, Wu M (2015) Gravity Anomaly Data Reconstruction Based on Improved Interior Point Method in Airborne Gravimetry. J Civil Environ Eng 5:170. doi:10.4172/2165-784X.1000170
Copyright: © 2015 Yang Y, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Strap-down air borne gravimeter is the core sensor of strap-down gravimetry system. In this paper, A new strap-down airborne gravimeter called SGA-WZ has been developed by the Laboratory of Inertial Technology of the National University of Defense Technology. Precise gravity anomaly data reconstruction is the key technology in airborne gravimetry based on the SGA-WZ. This paper explores a method for large scale precise gravity anomaly data reconstruction using the theory of Compressed Sensing (CS). Based on the CS theory, the gravity anomaly data reconstruction can be transformed into the one-norm convex quadratic program to be solved by several methods such as interior point methods (IPM). This paper presents an improved IPM for performing the large scale gravity anomaly data reconstruction precisely that uses the Preconditioned Conjugate Gradients Algorithm (PCG) to compute the search direction. And then, a flight test has been carried out in China with SGA-WZ. The test results have shown that the PCG-IPM algorithm can reconstruct the large scale gravity anomaly data with higher accuracy than the existing nearest interpolation method in airborne gravimetry.

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