航空重力数据的等波纹FIR低通滤波试验

摘要

This paper aims at solving the extraction of weak gravity anomaly signal under strong noise background,which is one of the key techniques in airborne gravity survey. Remez exchange algorithm design linear phase FIR low-pass filter was employed according to equiripple Chebyshev approximation theory,and model data were used to verify the effectiveness of the method. GT-1A airborne gravity system measurement data were utilized to conduct filter test. It is shown that the same results as the GT-1A system Kalman smooth filter can be obtained on the basis of the Remez exchange algorithm design linear phase FIR equiripple low-pass filter in die free air gravity anomaly under certain conditions.%为解决航空重力测量中的核心技术之一——强噪声背景下提取微弱重力异常信号的问题,根据等波纹切比雪夫逼近理论,采用瑞米兹( Remez)交换算法设计等波纹线性相位FIR低通滤波器,利用模型数据对该方法进行了验证,并通过GT-1A型航空重力系统测量数据进行滤波试验.结果表明,基于Remez交换算法设计等波纹线性相位FIR低通滤波器,在自由空气重力异常获取的滤波试验中,能获得与GT-1A系统卡尔曼平滑滤波相同的效果.