基于遗传模拟退火FCM算法的BDS-3三频组合优化选取  

Optimization of BDS-3 triple-frequency combination based ongenetic simulated annealing fuzzy C-means algorithm

作　　者：蔡聪聪 赵冬青[1] 石明琛 CAI Congcong;ZHAO Dongqing;SHI Mingchen(Information Engineering University,Zhengzhou 450001,China)

机构地区：[1]信息工程大学,河南郑州450001

出　　处：《测绘工程》2020年第5期60-65,共6页Engineering of Surveying and Mapping

基　　金：国家自然科学基金资助项目(41774037,41604013);地理信息工程国家重点实验室开放基金资助项目(SKLGIE2015-Z-1-1)。

摘　　要：北斗三号系统播发B1I、B1C、B2a、B3I 4种公开服务信号,可组成4种BDS-3三频载波相位组合,即B1C、B2a、B3I在分析三频载波相位组合观测值模型基础上,给出三频载波相位组合优化选取标准。针对以往模糊C均值(FCM)算法在载波相位组合观测值优化选取中的不足,提出基于遗传模拟退火FCM算法。利用遗传模拟退火算法优化初始聚类中心,克服FCM算法过度依赖初始聚类中心的缺点;然后以长波长、弱电离层、低观测噪声为聚类指标,对选取的BDS-3三频载波组合观测值进行优化分类;最后利用矩阵变化法求解BDS-3三频实测数据模糊度,验证该方法的可行性。At present,BDS-3 broadcast B1I,B1C,B2a,B3I open service signals,which can form four kinds of BDS-3 triple-frequency carrier phase combination,this paper gives the optimizing selection criteria based on the analysis of triple-frequency carrier phase combination model with one of them(B1C,B2a,B3I),and presents a genetic simulated annealing FCM algorithm to overcome the Fuzzy C-Means(FCM)algorithm shortcoming relying excessively on the initial cluster centers by optimize the initial cluster centers using the genetic simulated annealing algorithm.Then,the genetic simulated annealing FCM algorithm is used to optimize the data of the BDS-3 triple-frequency carrier phase combination observation with long wavelength,weak ionosphere and low observation noise as clustering index.Finally,the ambiguity of BDS-3 triple-frequency measured data is solved by matrix transformation method,which verifies the feasibility of this method.

关 键 词：北斗三号系统 三频载波相位组合 遗传模拟退火FCM 组合观测值优化选取 矩阵变换 

分 类 号：P228.4[天文地球—大地测量学与测量工程]