Kalman滤波在测量数据处理中的应用研究  

Applied Research on Kalman Filter in Measurement Data Processing

作　　者：王延国[1] 王胜利[2] 孙善一[1] 姜楠[1] 刘洋[3] 

机构地区：[1]安徽理工大学测绘学院,安徽淮南232001 [2]东南大学仪器科学与工程学院,江苏南京210000 [3]吉林师范大学计算机学院,吉林四平136000

出　　处：《北京测绘》2012年第6期1-5,共5页Beijing Surveying and Mapping

摘　　要：论述了Kalman滤波在测量数据处理与分析中的可行性,推导出与在测量中应用相当广泛的最小二乘法关系,进一步导出Kalman滤波动态模型[1]。并通过对算例进行计算、分析,取得可靠结果,从而验证了Kalman滤波方程在测量数据处理中的有效性、实用性[4]。This paper discusses the feasibility of the Kalman Filter in the measurement data processing and analysis,and derives a relationship with the least squares method widely used in the measurement as well as Kalman filter dynamic model.Examples are calculated and analysed.The examples are reliable,thus verifying the effectiveness and practicality of the Kalman filter in the measurement data processing.

关 键 词：KALMAN滤波 数据处理 平差 

分 类 号：P207[天文地球—测绘科学与技术]