首页 | 本学科首页   官方微博 | 高级检索  
     

高动态环境的GPS信号互模糊函数估计器及其性能分析
引用本文:吕艳梅,李小民,彭贤华. 高动态环境的GPS信号互模糊函数估计器及其性能分析[J]. 军械工程学院学报, 2006, 18(1): 53-57
作者姓名:吕艳梅  李小民  彭贤华
作者单位:军械工程学院光学与电子工程系 河北石家庄050003
基金项目:国家自然科学基金项目(F010103)
摘    要:为了更可靠地跟踪高动态环境GPS信号参数,提出了一种新的适应高动态环境的GPS参数估计方法———互模糊函数方法。在假定高信噪比的条件下,推导了互模糊函数估计器的估计方差以及Cram er-Rao界,得出了采用互模糊函数法对高动态环境GPS信号的时延和多普勒频移进行联合估计是渐近无偏和渐近有效的结论。

关 键 词:高动态  GPS  参数估计  互模糊函数  Cramer-Rao界
文章编号:1008-2956(2006)01-0053-05
修稿时间:2005-11-10

Research onCross-Ambiguity Function Estimator for GPS Signal and the Performance Analysis in HighDynamic Circumstances
L,Uuml; Yan-mei. Research onCross-Ambiguity Function Estimator for GPS Signal and the Performance Analysis in HighDynamic Circumstances[J]. Journal of Ordnance Engineering College, 2006, 18(1): 53-57
Authors:   Yan-mei
Abstract:To track GPS signal in high dynamic circumstances more reliably,the paper presents a new estimator for GPS signal in high dynamic circumstances,that is cross-ambiguity function.Under the condition of assuming high signal-to-noise ration,it educes the estimating variance of Cross-Ambiguity function estimator and the Cramer-Rao Bounds.At last,the paper presents the result:It is asymptotically unbiased and asymptotically effective to adopt Cross-Ambiguity function for estimating jointly the delay and Doppler frequency shift of GPS signal in high dynamic circumstances.
Keywords:high dynamic  GPS  parameter estimate  cross-ambiguity function  Cramer-Rao Bound
本文献已被 CNKI 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号