High-precision geomagnetic reference map construction method based on compressed sensing

被引：0
|
作者：
Ma X. [1 ]
Zhang J. [1 ]
Hao L. [1 ]
Li T. [1 ]
Wang S. [1 ]
Li L. [2 ]
机构：
[1] Pricision Guidance and Simulation Lab, Rocket Force University of Engineering, Xi'an
[2] 96863 Troop of Rocket Army, Luoyang
来源：
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | 2020年 / 46卷 / 04期
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
Compressed sensing; Geomagnetic matching navigation; Geomagnetic reference map construction; Interpolation algorithm; Signal reconstruction;
D O I：
10.13700/j.bh.1001-5965.2019.0313
中图分类号：
学科分类号：
摘要：
The construction of geomagnetic reference map is the cornerstone of geomagnetic matching navigation. In this paper, the compressed sensing theory is applied to the geomagnetic information acquisition, which aims at solving the problem that the accuracy of the geomagnetic reference map is not satisfactory with the less measured data based on interpolation methods. A high-precision method of geomagnetic reference map construction based on compressed sensing is put forward, taking the structural characteristics of the geomagnetic reference map into consideration. The discrete cosine transform matrix is used as sparse basis, the unit matrix is used as measurement matrix, and the compression sampling matching pursuit (CoSaMP) algorithm is used as the reconstruction method. The experimental results show that the proposedmethod has better reconstruction accuracy and stability compared withthe methods of cubic spline interpolation, Kriging interpolation and PSO-Kriging interpolation. Compared with the PSO-Kriging interpolation method which has the best performance among the three, when geomagnetic reference map is reconstructed at the sampling rate of 6.25%, the proposed method makes the peak signal-to-noise ratio (PSNR) increase from 66.97 dB to 74.67 dB, themeanabsolute error reduce from 25.47 nT to 10.26 nT, and the root mean square error decrease from 28.57 nT to 11.33nT. © 2020, Editorial Board of JBUAA. All right reserved.
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页码：791 / 797
页数：6
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