高动态环境的GPS信号互模糊函数估计器及其性能分析  

Research on Cross- Ambiguity Function Estimator for GPS Signal and the Performance Analysis in High Dynamic Circumstances

作　　者：吕艳梅[1] 李小民[1] 彭贤华[1] 

机构地区：[1]军械工程学院光学与电子工程系,河北石家庄050003

出　　处：《军械工程学院学报》2006年第1期53-57,共5页Journal of Ordnance Engineering College

基　　金：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Cramer-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。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 - Ambi- guity 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.

关 键 词：高动态 GPS 参数估计 互模糊函数 CRAMER-RAO界 

分 类 号：TN911.72[电子电信—通信与信息系统]