基于DSP的MEMS陀螺去噪算法研究

作为惯导系统的重要传感器,陀螺仪的精度直接影响到导航定位的精确性,而随机噪声是影响其精度的重要因素.对随机漂移进行建模并在系统中加以补偿是提高陀螺及其导航系统精度的关键.本文对MEMS陀螺的信号进行分析,对高于通频带的噪声用切比雪夫低通滤波器进行滤波,对带内的噪声运用改进的中值滤波进行处理.DSP仿真结果表明,该方法能在保证实时性的情况下降低陀螺噪声误差对系统精度的影响,可以将信号的信噪比提高8 dB.

Research of De-noise algorithms in MEMS gyroscope based on DSP

The accuracy of navigation orientation is directly affected by the accuracy of gyroscope,as it is one of the most important sensors.And stochastic noise is an important factor affecting its accuracy.Modeling random drift and compensating it in navigation system is the key point in gyro.In this paper,signal of MEMS gyroscope in time domain and frequency domain was analyzed,a Chebiv low-pass filter has been employed on the noise with frequency beyond passed-band,and the noises in the pass-band are processed by an improved median-filtering.The result based on DSP simulation indicates that this method can improve the SNR to 8 DB,and it also can improve the accuracy of MEMS gyroscope effectively while keeps filtered signal track in real-time.