突发GMSK混和信号混合位置估计迭代算法  

Hybrid Position Iterative Estimation Algorithm for Burst GMSK Mixing Signals

作　　者：胡昌海[1] 杨育红[1] 朱义君[1] 辛刚 

机构地区：[1]解放军信息工程大学信息系统工程学院,郑州450002

出　　处：《数据采集与处理》2014年第3期421-426,共6页Journal of Data Acquisition and Processing

基　　金：国家重大科技专项(2009ZX03003-005-01)资助项目

摘　　要：针对高斯滤波最小频移键控(Gaussian minimum shift keying,GMSK)混合信号的混合位置估计问题,提出了一种基于参数估计与混合位置估计的迭代算法。混合信号混合部位和未混合部位在幅度和频率上存在明显差异,通过混合部位信号过零点和极值点得到混合的信号和幅度估计后,可以对采样点是否混合进行判断,同时混合起点对应着相对时延,当混合信号的相对时延较大时,利用未混合部位信号来进行迭代时,其估计精度更高。对混合起点估计的克拉美罗界进行了推导,仿真表明,本文算法估计精度高,所需的数据量小,适用于突发通信,且对参数变化不敏感,具有较强的鲁棒性,在高信噪比下混合位置估计精度接近克拉美罗界。The estimation of hybrid position for mixing GMSK signals is considered, and an iterative algorithm is proposed basd on parameter estimation and hybrid position estimation. Considering the differences of mixed and non-mixed parts in terms of frequency and amplitude, the frequency and the amplitude can be estimated by zero-crossing and extreme point estimating, therefore, whether each sampling point is mixed or not can be decided. The hybrid origin corresponds to a relative time delay. When the delay is large, the parameter estimation will be better while using the non-mixed part data. The Cramer-Rao lower bound（CRLB） for onset estimating the mixing signals is also cosidered. The simulation shows that the proposed algorithm can provide higher precision while needs less data, and can be used in burst mode. Further, it is highly robust and not sensitive to parameter change.

关 键 词：混合位置 迭代估计 克拉美罗界 

分 类 号：TN911.23[电子电信—通信与信息系统]