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针对当前MEMS陀螺仪信号为非平稳、非线性、不同步和信号量大的特点,提出了一种基于数字信号处理器(DSP)信号高速实时处理平台的、并结合多传感器数据融合技术的MEMS陀螺信号处理方案。该方案设计了基于SCC1300MEMS陀螺和DSP的信号采集处理平台,并运用正交基神经网络数据融合算法对采集的陀螺数据进行融合处理。实验结果表明,该方案在保证对陀螺信号进行高速实时采集的基础上,能提高信号处理精度达37.45%。
Aiming at the characteristics of non-stationary, non-linear, asynchronous and large signal current of MEMS gyroscope, a MEMS-based high-speed real-time processing platform based on digital signal processor (DSP) Gyro signal processing program. The program design based on SCC1300MEMS gyro and DSP signal acquisition and processing platform, and the use of orthogonal basis neural network data fusion algorithm for the acquisition of the gyro data fusion. Experimental results show that the proposed scheme can improve signal processing accuracy by 37.45% on the basis of high-speed real-time acquisition of gyro signals.