摘要
采用小波去噪中的阈值方法对舰船传感器的量测信息进行了去噪处理,从而降低了量测信息中噪声对卡尔曼滤波精度的影响。通过对实测船位数据的仿真,并与GPS船位数据比对,证明该方法有效地提高了卡尔曼滤波的估计精度,也使航行曲线更加地“光滑”。
To reduce the influence from the measurement noise of sensors signal on the Kalman filter precision, de-nosing on sensors signals is studied by using the wavelet value. By simulating positions data from ship, and compared with the GPS data, the results show that the method can improve the estimate precision of Kalman filter effectively, and make the ship course smoother.
出处
《青岛大学学报（自然科学版）》
CAS
2005年第3期81-84,共4页
Journal of Qingdao University(Natural Science Edition)
关键词
传感器
量测噪声
卡尔曼滤波
小波去噪
仿真
sensors
measurement noise
kalman filter
wavelet de-noising
simulation
