Aeromagnetic Compensation Based on Truncated Singular Value Decomposition With an Improved Parameter-choice Algorithm

被引:0
作者
Gu, Bin [1 ]
Li, Qingli [1 ]
Liu, Hongying [1 ]
机构
[1] E China Normal Univ, Sch Informat Sci & Technol, Key Lab Polar Mat & Devices, Shanghai 200062, Peoples R China
来源
2013 6TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP), VOLS 1-3 | 2013年
关键词
aeromagnetic compensation; truncated singular value decomposition (TSVD); L-curve criterion (LO); signal processing; measurements; SVD;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
As aircraft magnetic interference is much larger than the resolution of magnetic sensors, aeromagnetic compensation is increasingly important with the development of modern airborne magnetometers. Due to the ill-conditioning of Tolles-Lawson model, some regularization method, instead of ordinary least-squares (OLS), has to be employed to predict the magnetic interference caused by aircraft's motion. This paper aims to provide a candidate method to reduce such interference. The truncated singular value decomposition (TSVD) is used as a main tool to estimate compensation coefficients. In order to select an appropriate regularization parameter for TSVD, an improved parameter-choice method, L-curve criterion with defined origin algorithms (LO) is proposed in this paper to locate the global corner of the discrete L-curve rather than small local ones. Simulation results demonstrate that the proposed combined method (TSVD-LO) can reduce the magnetic interference to a large extent.
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页码:1545 / 1551
页数:7
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