Volume 46 Issue 4
Apr.  2020
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MA Xiaoyu, ZHANG Jinsheng, HAO Liangliang, et al. High-precision geomagnetic reference map construction method based on compressed sensing[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(4): 791-797. doi: 10.13700/j.bh.1001-5965.2019.0313(in Chinese)
Citation: MA Xiaoyu, ZHANG Jinsheng, HAO Liangliang, et al. High-precision geomagnetic reference map construction method based on compressed sensing[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(4): 791-797. doi: 10.13700/j.bh.1001-5965.2019.0313(in Chinese)

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

doi: 10.13700/j.bh.1001-5965.2019.0313
Funds:

National Natural Science Foundation of China 61673017

China Postdoctoral Science Foundation 2019M3643

More Information
  • Corresponding author: ZHANG Jinsheng, E-mail: zjinshengchina@163.com
  • Received Date: 17 Jun 2019
  • Accepted Date: 28 Oct 2019
  • Publish Date: 20 Apr 2020
  • 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.

     

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