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针对机载条件下惯性传感器干扰输出是来源多样的非平稳、非线性信号,采用传统降噪方法有明显的不足和局限这一问题,分析了机载惯性传感器输出信号的特点,提出基于局域波分解对实测机载惯性传感器信号降噪。根据实测数据使用局域波分解和小波包变换进行信号降噪对比分析,结果表明局域波分解和小波包变换对于存在噪声干扰的机载惯性传感器信号可以有效降噪并提取有用信号。局域波分解消除惯性传感器信号噪声计算简便,容易实现。
In view of the problem of inertial sensor jamming output under airborne conditions, which is a diverse source of non-stationary and nonlinear signals, the traditional method of noise reduction has obvious shortcomings and limitations. The characteristics of the output signal of the airborne inertial sensor are analyzed. Wave decomposition on the measured airborne inertial sensor signal noise reduction. According to the measured data, the local signal decomposition and wavelet packet transform are used to compare the signal noise reduction. The results show that the local wavelet decomposition and wavelet packet transform can effectively reduce the noise and extract the useful signal for the airborne inertial sensor signal with noise interference. Local wave decomposition to eliminate inertial sensor signal noise is simple and easy to implement.