一种用于重力测量信号畸变校正的盲反卷积算法(英文)  

Blind deconvolution algorithm for gravity anomaly distortion correction

作　　者：赵立业[1] 李宏生[2] 

机构地区：[1]微惯性仪表与先进导航技术教育部重点实验室,南京210096 [2]东南大学仪器科学与工程学院,南京210096

出　　处：《中国惯性技术学报》2015年第2期196-200,共5页Journal of Chinese Inertial Technology

基　　金：国家自然科学基金资助项目(61101163);江苏省自然科学基金资助项目(BK2012739)

摘　　要：强阻尼和大时间常数是海洋重力仪的共同特性,它们在抑制垂直方向上干扰加速度的同时也造成了重力仪测量信号的幅值衰减和相位滞后。为了校正重力测量信号的畸变,获得高精度的重力异常信号,在分析重力仪和重力测量信号畸变原理的基础上,提出了一种单通道Bussgang算法,并应用于重力测量信号的畸变校正。该方法首先将盲反卷积滤波器近似简化为FIR模型,然后采用常数恒模算法对Bussgang均衡器权系数进行更新,并在此基础上对反卷积滤波器进行了估计,最后基于实测重力信号将该方法与Kalman逆滤波进行了试验对比。理论分析和试验结果表明,该重力信号畸变校正方法能有效地消除重力测量信号的畸变,且校正效果明显优于Kalman逆滤波,其校正后信号相对于原始信号的标准差为0.328×10-5 m/s2,而Kalman逆滤波校正标准差为1.838×10-5 m/s2。Strong damping and large time constant are the common characteristics of marine gravity meter, which can suppress the interference of vertical acceleration, but can also lead to distortion of the low- frequent gravity anomaly signals, such as amplitude attenuation and phase lag. In order to suppress serious background noises and get high-precision gravity information from the measured signals of the precise gravimeter, a new method of single-channel Bussgang algorithm is proposed based on the principle of the gravimeter and the distortion of the measured signals, and is applied to the correction of gravity anomaly distortion. In the signal processing procedure, the deconvolution filter is simplified as a FIR model, and then the single-channel Bussgang deconvolution algorithm - which uses the constant modulus algorithm （CMA） in updating equations - is used to estimate the deconvolution filter. Finally, the measured gravity signal is used for comparing the proposed method with Kalman inverse filter. Emulations and experiments indicate that the proposed single-channel Bussgang algorithm has better performance than that of Kalman inverse filter in alleviating the distortion of the gravity anomaly signal. The distortion correction standard deviations of the proposed method and the inverse Kalman filter are 0.328×10-5 m/s^2 and 0.328×10-5 m/s^2, respectively.

关 键 词：重力仪 重力异常 Bussgang反卷积算法 Kalman逆滤波 畸变校正 

分 类 号：U666.1[交通运输工程—船舶及航道工程]