Array signal random noise adaptive model denoising method

Abstract

The invention discloses an array signal random noise adaptive model denoising method. According to the array signal random noise adaptive model denoising method, a signal model is estimated by adopting an adaptive mode, and a prediction operator is not solved by complicated calculation, so that the calculation efficiency is greatly improved, the problems of influenced denoising effect and poor amplitude fidelity due to prediction operator distortion caused by insufficient prediction operator length or strong noise can be avoided, the denoising method is simple, the denoising effect is good, and the amplitude fidelity is good. The method comprises the following steps of: 1) firstly carrying out time window partition according to the seismic data processing range; 2) calculating the frequency spectrum of each seismic channel of a time window in the frequency space domain; 3) adapting to signal models of all the seismic channels in the frequency space domain; and 4) in the frequency space domain, comparing the actual amplitude value of each frequency in a specified range of each seismic channel with the amplitude value of the corresponding frequency of the signal model of the seismic channel, and carrying out noise amplitude pressing.

Description

technical field [0001] The invention relates to the technical field of seismic exploration data processing, in particular to an adaptive model denoising method for random noise of array signals. Background technique [0002] General signal processing is concerned with time domain signals, while array signal processing is concerned with time and space domain signals. Array signal processing is one of the important research contents of modern signal processing, and it is also a current research hotspot. It has a wide range of applications and can be used in many fields such as radar, sonar, navigation, communication, radio astronomy, medical diagnosis and seismic exploration. Array signal processing is to arrange a group of sensors in different positions in space according to certain rules to form a sensor array, use the sensor array to transmit energy and / or receive space signals, and obtain and process the observation data of the signal source. The purpose of array signal p...

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Problems solved by technology

[0012] The invention discloses an adaptive model denoising method for random noise of array signals, which adopts an adaptive method to estimate the signal model instead of using complex calculations to obtain prediction operators, greatly improves calculation efficiency, and effectively avoids insufficient length of prediction operators Or strong noise causes the prediction operator to be distorted, which affects the denoising effect and does not preserve the amplitude. The denoising method is simple, the denoising effect is good, and the amplitude fidelity is good.

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