基于最优小波包基的陀螺仪信号去噪算法研究  

Research of Gyro Signal Denoising Algorithm Based on Best Wavelet Packet Basis

作　　者：周绍磊[1] 张文广[1] 史贤俊[1] 赵海鹰[1] 

机构地区：[1]海军航空工程学院,山东烟台264001

出　　处：《弹箭与制导学报》2006年第S2期454-456,共3页Journal of Projectiles,Rockets,Missiles and Guidance

摘　　要：文中提出了一种基于Shannon熵准则的最优小波包基浮动阈值去噪算法,并将其应用于某型反舰导弹陀螺仪信号的去噪处理.仿真结果表明,该算法具有良好的去噪性能,并且消噪效果明显优于基于小波变换的去噪算法,将具有更为广泛的应用前景。In this paper,a new signal denoising algorithm based on the best wavelet packet basis which adopts Shannon entropy and the floating threshold is discussed,and is used in the signal denoising of the anti-ship missile's gyro.The simulation results show that the algorithm has the favorable characteristics and the better signal denoising effect com- pared with signal denoising algorithm based on wavelet transform.So,it will be applied in more fields widely.

关 键 词：陀螺仪 最优小波包变换 浮动阈值 去噪 

分 类 号：V241.5[航空宇航科学与技术—飞行器设计]