摘要
针对寻北系统在实际运用中因受周围环境影响而导致寻北精度下降的问题,提出了基于小波变换的去噪方法.该方法选用sym8小波基,采用高次逼近法和改进的小波阈值对含有阵风噪声的原始陀螺信号进行小波去噪.结果表明sym8小波基为含阵风噪声陀螺信号进行小波去噪的最优小波基.调整其分解尺度进行仿真,发现分解尺度为4时达到了最佳去噪效果且提高了寻北精度,证明了方法的有效性与可靠性.
In the practical application of north seeking system, the accuracy of north seeking declines because of the influence of the environment. Aiming at this problem, a denoising method based on wavelet is proposed. On the basis of comparision of denoising effect for several types of wavelets, the sym8 wavelet basis, which introduces the high order approximation and a adaptive threshold, is em- ployed for denoising the original RLG signal with the wind-noise. The result shows that the sym8 wavelet is the best one for denoising the original RLG signal which contained the wind-noise, and the best denoising effect and north seeking accuracy can be obtained by using different decomposition lev- el, which proves the effectiveness and reliability of this method.
出处
《测试技术学报》
2014年第2期180-184,共5页
Journal of Test and Measurement Technology
