摘要
惯导系统对高精度光纤陀螺的输出随机噪声水平要求很高,尤其是角度随机游走将直接影响惯性导航系统的精度。为能有效降低光纤陀螺角度随机游走噪声,分析角度随机游走产生的机理,提出了基于NLMS算法的前向线性预测滤波器(FLP)的降噪方法,该方法比标准LMS算法有更快的收敛速度和良好的动态跟踪特性。用A llan方差法对真实数据滤波前后的噪声水平进行分析比较,结果证明该方法使得光纤陀螺的性能得到了明显的提高,而且该算法简单,工程上易实现,能够有效的提高陀螺的信噪比和惯导系统的对准精度。
Inertial navigation system requires high precision fiber-optic gyroscope （FOG） to have high anti-noise capability; especially the angle random walk （ARW） has an effect on the alignment precision . In order to reduce ARW , the generation cause of ARW is analyzed, and the noise control method is put forward, which employs forward linear prediction （FLP） filter based on NLMS. The method has a faster convergence speed and better dynamic tracking performance than the standard LMS method. The filtering results are analyzed and compared, and the performance of FOG is improved obviously using this method. The method is simple and easy to implement, and can improve the SNR and alignment precision effectively.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2009年第3期521-525,共5页
Chinese Journal of Scientific Instrument
基金
国家自然科学基金项目(60604019)资助项目
