摘要
基于状态空间方法提出了一种适用于宽带阵列雷达距离、速度和角度三维参数的联合估计方法。根据宽带阵列雷达三参数信号模型,给出对应参数估计的克拉美罗下界(CRLB);通过构造广义Hankel矩阵,将现有的状态空间方法推广到三维参数联合估计问题上。实验仿真表明,该方法对于雷达三维参数联合估计是有效的,可一致逼近CRLB,且比传统快速傅里叶逆变换(IFFT)方法具有更好的参数估计和目标分辨性能。
In this paper a new method that based on state space estimation method is proposed to make joint estimation of the three parameters of range,velocity and angle for multi targets.According to the signal model of wideband array radar,we derived the Cramer-Rao Low Bound(CRLB)of these parameters,via constructing generalized Hankel matrix,we extend the sate space method into three dimension parameters.Numerical simulations show that the proposed method is an efficient method to estimate these parameters,which can uniformly approach to the CRLB.Meanwhile,compared to convention IFFT method,the proposed State-Space(SS)method gain better estimation and resolution property.
作者
刘巍
汤俊
张宁
LIU Wei;TANG Jun;ZHANG Ning(Department of Electronic Engineering, Tsinghua University, Beijing 100084,China)
出处
《太赫兹科学与电子信息学报》
2017年第4期565-571,共7页
Journal of Terahertz Science and Electronic Information Technology
关键词
宽带阵列
状态空间法
参数估计
克拉美罗界
wideband array
state space
parameter estimation
Cramer-Rao Low Bound