摘要
通过引入统计学中剔除异常数据的格拉布斯准则,将其与基于算数平均和递推估计的“一致性校验”算法相结合,提出了一种基于此准则的雷达信号分选方法.首先介绍了格拉布斯准则在统计学中分选数据的算法流程,以脉冲幅度(PA)为例作为采样数据样本,讨论了该方法在雷达信号分选中的实现过程,围绕该方法中关键参数的不同选取给分选性能带来的影响,通过MATLAB的仿真分析验证了该方法应用于反辐射导弹(ARM)雷达信号分选的有效性和可行性.
This paper brings up an improved sorting method for radar signal, with the use of the Grubbg criterion from the Statistics which is combined with the checking consistency. The sorting data flow of the Grubbs＇ criterion used in the Statistics is introduced firstly. Later on, the realization process of using the improved method to the radar signal is mainly discussed. Taking the pulse amplitude for example, the ef- fectivity and feasibility of the algorithm used in the radar signal sorting of the ARM system is verified through the MATLAB simulation and analysis, which is mainly discussed around the influence to sorting performance with the different set of the key parameters in the method.
出处
《传感技术学报》
CAS
CSCD
北大核心
2006年第6期2625-2629,共5页
Chinese Journal of Sensors and Actuators
作者简介
池庆玺（1981-），男，山西大同人，博士研究生，研究方向为宽带系统的信号检测、处理与识别，chiqingxi804@yahoo.com.cn.
司锡才（1940-），男，教授，博士生导师，研究方向为为宽带系统的仿号检测、处理与识别．
