A NEW METHOD OF CORRELATION REGION LEAST SQUARE ALGORITHM FOR EARTH SYSTEM PARAMETER IDENTIFICATION
Journal Title: Topics in Intelligent Computing and Industry Design (ICID) - Year 2017, Vol 1, Issue 2
Abstract
In the earth exploration field, least square algorithm is one of the most commonly traditional methods for earth parameter system identification. Aiming at the problems of the traditional least square algorithm based on the input and output signal that the earth system is susceptible to noise and not so accurate identification, in this it has proposed a new method of correlation region least square algorithm for the earth system parameter identification. The new method proposes that input m-sequence to the unknown earth system, then using the characteristics of the noise can be suppressed by using the auto correlation of the system input signal and the cross correlation of the input-output signal, and using those signals of correlation region to carry out least square calculation, so that the unknown parameters of the earth system are obtained. The computer simulation of earth system identification has showed that the new method got great improvement than the traditional ones in suppressing noise interference and improvement identification precision
Authors and Affiliations
Sun Guoliang, Wang Shuo, Qin Honglei, Cao Weihua
Keywords
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- EP ID EP409809
- DOI 10.26480/wsmce.01.2017.118.120
- Views 69
- Downloads 0
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