MMSE准则下部分周期数据的微多普勒参数估计  

Micro-Doppler parameter estimation from a fraction of the period data with the MMSE criterion

作　　者：左磊[1] 李明[1] 张晓伟[1] 

机构地区：[1]西安电子科技大学雷达信号处理国家重点实验室,陕西西安710071

出　　处：《西安电子科技大学学报》2013年第2期123-129,共7页Journal of Xidian University

基　　金：国家自然科学基金资助项目(61271297;61272282);国家部委预研基金资助项目(9140A01060411DZ0101);航空基金资助项目(20110181006);博士点基金资助项目(20110203110001)

摘　　要：针对信号积累时间小于目标转动周期这种情况,提出了一种基于最小均方误差(MMSE)的部分周期数据微多普勒参数估计新方法.从目标信号的时频分布中提取出其微多普勒信号,在MMSE准则下求解该微多普勒信号与正弦信号之间的误差函数,进而估计出转动目标的微多普勒参数——转速和转动半径.同时证明了该方法在提取微多普勒信号时带来的量化误差和白噪声对微多普勒参数估计精度的影响较小.仿真和实测数据的微多普勒参数估计结果,验证了该方法的有效性与精确性.The micro-Doppler characteristic of a rotation target can be represented by a sinusoid. Sometimes the integrating time is shorter than the rotation period. In this case, a new method based on the minimal mean-square error（MMSE） for estimating the micro-Doppler parameter from a fraction of the period data is proposed. The error function is constructed between sinusoid and micro-Doppler signal extracted from the time-frequency distribution of the echoes. Solving the error function in the criterion MMSE, we can obtain the rotation micro-Doppler parameters, i.e. rotation rate and rotation radius. We also prove that the discretisation error and Gaussian white noise induced by extracting the micro-Doppler signal have little effect on the accuracy of the estimated parameters. The validity and accuracy of the proposed method are evaluated via both simulation and experimental data.

关 键 词：微多普勒 最小均方误差 转速 转动半径 

分 类 号：TN957[电子电信—信号与信息处理]