Application with Wavelet Detection to Signal Process of SINS

Abstract:

Aimed at disturbance caused from motor running and personnel ambulation during initial alignment process of SINS, a new signal detection method of disturbance based on wavelet analysis is brought out. Through analyzing original signal characteristic of FOG and the data with wavelet filter on disturbance base, finds out wavelet filter just have effectiveness to high frequency noise. Then T&L signal detecting law is introduced, and builds T&L signal with high frequency part of wavelet decomposing to estimates interfere time and then resample. Offline simulation experiment results indicate the method can eliminate low frequency disturbance effectively and has certain apply value.

• Periodical: Advanced Materials Research (Volume 571)
• Pages: 671-675
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.571.671
• Online since: September 2012
• Authors: Xiang Yuan Huang, Xia Qing Tang, Li Bi Guo, Xu Wei Cheng
• Keywords: Disturbance Base, Signal Process, SINS, Wavelet Detection

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