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一次波L1范数最小化的多次波自适应相减方法,简称L1方法,是基于匹配滤波器设计的多次波自适应相减算法中的一种常用方法。当一次波和多次波混杂在一起时,L1方法有时会伤害一次波,导致一次波同相轴的连续性变差。本文利用预测误差滤波器度量一次波同相轴的连续性,在L1方法的基础上,提出一种能够在压制多次波的同时,尽量保持一次波同相轴连续性的多次波自适应相减算法,简称连续性约束L1方法。利用Pluto模型数据进行多次波相减的结果表明,连续性约束L1方法能够在有效压制多次波的同时,更好地保护一次波。
The multiple adaptive adaptive subtraction method (L1), which minimizes the L1 norm of the primary wave, is a commonly used method in the multiple adaptive subtraction algorithm based on the matched filter design. The L1 method sometimes hurts the primary wave when the primary wave and the multiple wave are mixed together, resulting in the deterioration of the continuity of the primary wave phase. In this paper, we use the prediction error filter to measure the continuity of the primary wave events. Based on the L1 method, we propose a multi-wave adaptive subtraction method that can suppress the multiple waves and keep the continuity of the primary wave as much as possible Algorithm, referred to as the continuity constraint L1 method. The results of multipath subtraction using Pluto model data show that the L1 method can effectively suppress the multiple waves and protect the primary waves better.