摘要
鉴于传统重力固体潮信号分析方法不能将重力固体潮信号所含谐波分量分解到与不同天体潮汐谐波系一致对应的缺点,根据重力固体潮的产生机理,提出了一种重力固体潮三维正交分解模型.三维正交分解模型中将重力固体潮分解为3个与不同天体潮汐效应相一致的正交信号分量.为了获得3个相互正交的信号分量,采用独立分量分析(ICA)方法处理重力固体潮信号.同时,以负熵作为目标函数,以粒子群优化算法(PSO)作为优化函数来获得更优的解混矩阵.通过实验分析及实验验证可知,此文算法可以将重力固体潮信号正交分解为与三维正交分解模型一致的信号分量,并且各分量所含频谱信息具有与重力固体潮信号中各谐波系理论值相对应的特点,实现了从产生机理上将重力固体潮信号所含谐波分量对应分解到各谐波系中的功能.
According to generating mechanism of Gravity Earth Tide,this paper introduces a new approach of three- dimensional orthogonal decomposition model to decompose the signal because the traditional method of Gravity Earth Tide fails to classify the harmonic into series. In this three- dimensional orthogonal decomposition model,Gravity Earth Tide is divided into three parts which is orthogonal of each other. In order to get the geophysical information according to the decomposed model,this paper introduces the method of Independent Component Analysis（ ICA） to separate the Gravity Earth Tide. At the same time,in order to get the best solution matrix,this paper uses the mutual entropy as the optimization function and the Particle Swarm Optimization algorithm（ PSO） as the optimization function. Through experiments,the results are consistent with the three- dimensional orthogonal decomposition model,and frequencies are consistent with theory values.
出处
《云南大学学报（自然科学版）》
CAS
CSCD
北大核心
2015年第6期845-850,共6页
Journal of Yunnan University(Natural Sciences Edition)
基金
国家自然科学基金(41364002)
云南省自然科学基金(2009ZC048M)
昆明理工大学人才培养基金项目(KKZ3201103022)
