DocumentCode :
526668
Title :
Application of adaptive filtering algorithm based on wavelet transformation in aeromagnetic survey
Author :
Peng, Deng ; Chun-sheng, Lin ; Bin, Tan ; Jian, Zhang
Author_Institution :
Dept. of Weaponry Eng., Univ. of Naval Eng., Wuhan, China
Volume :
2
fYear :
2010
fDate :
9-11 July 2010
Firstpage :
492
Lastpage :
496
Abstract :
Traditional method of compensating aircraft magnetic inference is complicated. In order to solve coefficients of inference, aircraft must have a box wide sides study flight before survey. However due to multi-collinearity of the traditional aircraft´s magnetic inference model, it is difficult to estimate the coefficient of model accurately, and the aircraft´s inference couldn´t be removed clearly. The adaptive filtering algorithm based on wavelet transformation uses result of wavelet transformation for measured magnetic signal to be the reference signal of adaptive filtering. The target signal isn´t correlated with noise, so the filter effect works well and the aircraft´s magnetic inference compensated well. The method could simplify the process of compensation and reduce the learning time in the air. By using this method to measured data, aeromagnetic survey could detect magnetic anomaly signal both aircraft in violent shaking and smooth flight without using any another equipment such as GPS.
Keywords :
adaptive filters; aerospace instrumentation; aircraft; filtering theory; signal detection; wavelet transforms; adaptive filtering algorithm; aeromagnetic survey; aircraft magnetic inference; magnetic signal; wavelet transformation; Aircraft; Discrete wavelet transforms; Magnetic analysis; Noise; Wavelet analysis; adaptive filter; aeromagnetic survey; magnetic anomaly detection; wavelet transformation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
Type :
conf
DOI :
10.1109/ICCSIT.2010.5564839
Filename :
5564839
Link To Document :
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