Research on Aircraft Magnetic Compensation Based on Improved Singular Value Decomposition

Abstract:

In aeromagnetic detection, the estimation of the regression parameters in aircraft magnetic interference model is the key of aircraft magnetic compensation. Taking aim at the multicollinearity of aircraft magnetic interference model, a new parameters estimation method with combination of wavelet threshold denoising and singular value decomposition (SVD) was proposed, which is called WSVD. First, wavelet threshold denoising was used to pretreat magnetometer data in order to decrease the noise of electric equipments which will influence the accuracy of parameters estimation. Then SVD was used in the estimation of regression parameters. In a simulation example, the estimation accuracy of LS estimation, SVD and WSVD was compared in different signal to noise ratio (SNR). The result shows that WSVD is more accurate than other two methods, especially more adaptive in low SNR. And the regression parameters of WSVD is effective in aircraft magnetic compensation. The compensation ratio is above 90%.

• Periodical: Applied Mechanics and Materials (Volume 281)
• Pages: 41-46
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.281.41
• Online since: January 2013
• Authors: Jian Zhang, Peng Deng, Chun Sheng Lin
• Keywords: Aeromagnetic Detection, Aircraft Magnetic Compensation, Aircraft Magnetic Interference Model, Singular Value Decomposition, Wavelet Threshold Denoising

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