基于灰色(1,1)模型的近场源高阶特征估计  

Estimation of Near-Field Sources of High Order Characteristic Based on Grey(1,1)Model

作　　者：李瑞斋[1] 李义华[2] 

机构地区：[1]郑州大学西亚斯国际学院文理学院,河南新郑451100 [2]河南大学计算机与信息工程学院,河南开封475000

出　　处：《湘潭大学自然科学学报》2015年第3期101-106,共6页Natural Science Journal of Xiangtan University

基　　金：河南省重点科技攻关项目(142102210499)

摘　　要：近场源的高阶特征参数估计是阵列信号处理的重要内容.通过对近场源高阶特征参量估计可以实现对波达方向(DOA)的频率估计、时延估计、运动目标的多普勒估计.传统的近场源特征估计算法采用单频特征估计方法,无法实现对信号各个参量的联合估计.该文提出一种基于灰色(1,1)模型的近场源高阶特征估计算法.构建近场源的参量估计数学模型,通过空间谱估计方法,实现对空间信息的获取,利用信号子空间和噪声子空间的正交性,通过改变灰色(1,1)数学模型来减少对高阶特征参量不平衡敏感性,实现高阶参量联合特征估计.仿真结果表明,采用该算法进行近场源的高阶特征参量估计,能较精确的估计出两个信源的方位角、距离和频率三维参数,在雷达、声纳、通信等信号与信息处理中展示了较好的应用价值.The estimation of near-field sources of high order parameters is an important content of the array signal processing.Based on the parameter estimation of high order characteristics of near field source can be achieved on the direction of arrival（DOA）estimation of the frequency,time delay estimation,the estimation of moving target Doppler.Near field source characteristics of the traditional estimation algorithm using single frequency characteristic estimation method cannot achieve the joint estimation of signal parameters.Based on the grey（1,1）near field source with high order characteristic model estimation algorithm,the paper constructed mathematical model for estimating the parameters of near field sources,the spatial spectrum estimation method,to get the spatial information of the orthogonality of the signal subspace and the noise subspace,by changing the grey（1,1）mathematical model to reduce the sensitivity of the characteristic parameters of high order imbalance,combined with characteristics of high order parametric estimation.The simulation results show that the algorithm for the estimation of near-field sources of high order parameters,can be more accurate estimates of two source azimuth,distance and frequency of three-dimensional parameters in radar and sonar,communication,signal and information processing.

关 键 词：近场源 参量估计 灰色(1 1)模型 

分 类 号：TN911.2[电子电信—通信与信息系统]