A hybrid learning-based stochastic noise eliminating method with attention-conv-lstm network for low-cost mems gyroscope

HIGHLIGHTS

• who: Yaohua Liu from the University of Leicester, United Roorkee, India have published the research work: A hybrid learning-based stochastic noise eliminating method with attention-Conv-LSTM network for low-cost MEMS gyroscope, in the Journal: (JOURNAL)
• what: The authors focus on eliminating the stochastic noise in raw MEMS gyroscope data, rather than calibrating IMU error by reducing the attitude angle error. Although there are similar hybrid models in other fields, such as stock prediction, the authors focus on MEMS gyroscope stochastic noise reduction, and there is no research on the hybrid denoising model . . .
  

   

  

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