Frontiers of Optoelectronics · 2015 · 20 citations · 9 references
EngineeringMechanical EngineeringMechatronics EngineeringMechatronicsMicroelectromechanical SystemsSensorsDigital Signal ProcessingMems CharacterizationMems DesignMems ModelingMems SensorsNoiseGyroscope CharacterizationGyroscope SensorsGyroscopesInertial MemsMeasurement Noise ReductionMechanical Noise AnalysisSystem Noise Reduction
To solve the large noise problem for the low-precision gyroscopes in micro-electro mechanical systems (MEMS) of inertial navigation system, an improved noise reduction method, based on the analyses of the fast Fourier transformation (FFT) noise reduction principle and the simple wavelet noise reduction principle, was proposed. Furthermore, the FFT noise reduction method, the simple wavelet noise reduction method and the improved noise reduction method were comparatively analyzed and experimentally verified in the case of the constant rate and dynamic rate. The experimental analysis results showed that the improved noise reduction method had a very good result in the noise reduction of the gyroscope data at different frequencies, and its performance was superior to those of the FFT noise reduction method and the simple wavelet noise reduction method.
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Lei Huang, Qian Kemao, Bing Pan et al. · Optics and Lasers in Engineering · 2009 · 323 citations
Natural Sciences, Materials Engineering, Materials Science +16
Noise Smoothing for Nonlinear Time Series Using Wavelet Soft Threshold
Min Han, Yuhua Liu, Jianhui Xi et al. · IEEE Signal Processing Letters · 2006 · 138 citations
Harmonic Phasor Analysis Based on Improved FFT Algorithm
Bo Zeng, Zhaosheng Teng, Yulian Cai et al. · IEEE Transactions on Smart Grid · 2010 · 83 citations
Engineering, Computer Engineering, Electrical Engineering +17