%0 Journal Article
%T Estimation of High Dynamic Doppler Frequency and Its Cramer-Rao Bounds
高动态多普勒频率估计及其Cramer-Rao界
%A Wang Xiao-xiang
%A
王晓湘
%J 电子与信息学报
%D 2004
%I
%X The Doppler frequency of received signal is calculated by a Taylor series, the Cramer-Rao bounds on the estimation error is Derived and analyzed; The estimation techniques as Maximum Likelihood Estimator(MLE) and Extended Kalman Filter(EKF) are compared; Their basic frequency error performance and probability of loss-of-lock at various signal-to-noise ratios is compared by tracking a common simulated high-dynamic trajectory.
%K Maximum Likelihood Estimator(MLE)
%K Extended Kalman filter
%K Cramer-Rao bound
%K RMS estimation error
%K Probability of loss-of-lock
最大似然估计器(MLE)
%K 扩展卡尔曼滤波器(EKF)
%K Cramer
%K Rao界
%K 均方根估计误差
%K 失锁概率
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=CCFED2C49B20AB96&yid=D0E58B75BFD8E51C&vid=96C778EE049EE47D&iid=0B39A22176CE99FB&sid=9F6DA927E843CD50&eid=D2742EEE6F4DF8FE&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=2&reference_num=5