Improved wavelet threshold denoising method for MEMS gyroscope
作者： Zan-ping Li , Qiong-jian Fan , Li-min Chang , Xiao-hong Yang
DOI: 10.1109/ICCA.2014.6870975
关键词:
摘要: The random noise is an important factor that affects the precision of MEMS gyroscope. Analyzed characteristic gyroscope by using Allan variance, introduced thought wavelet threshold de-noising method, and presented improved quantization function. Expatriate complete build process denoising scheme examined effectiveness repeatability scheme. Static dynamic tests show that: program can effectively eliminate gyroscopes, stability characteristics signal.
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