首页 | 本学科首页   官方微博 | 高级检索  
     

基于神经网络的MUSIC计算方法
引用本文:邵东淼,丁亚非,王江. 基于神经网络的MUSIC计算方法[J]. 舰船电子工程, 2012, 0(7): 48-50
作者姓名:邵东淼  丁亚非  王江
作者单位:合肥电子工程学院404室
摘    要:
MUSIC方法是空间谱估计中经典的子空间方法,这类算法有个共同特点就是要对输出数据的协方差矩阵进行数学分解,其计算量较大,不适合实时处理。因此,文章提出了基于神经网络的高效迭代方法,不需进行数学分解,计算过程相对简单。仿真结果证明了该方法的有效性。

关 键 词:MUSIC算法  神经网络  迭代算法  DOA估计

A Novel MUSIC Algorithm Based on Neural Network
SHAO Dongmiao,DING Yafei,WANG Jiang. A Novel MUSIC Algorithm Based on Neural Network[J]. Ship Electronic Engineering, 2012, 0(7): 48-50
Authors:SHAO Dongmiao  DING Yafei  WANG Jiang
Affiliation:(No.404 Staff Room,Electronic Engineering Institute,Hefei 230037)
Abstract:
MUSIC algorithm is a classic subspace method for spatial estimation.The MUSIC as high-resolution spatial estimation algorithm need to decompose covariance matrix of the array output data,which involves large amount of computation and is not suitable for real-time processing.Therefore,a novel MUSIC algorithm based on neural network is proposed in this paper.This algorithm that needs no decompose covariance matrix of the array,is relatively simple in the calculation process.Simulation results demonstrate the effectiveness of the new method.
Keywords:multiple signal classification algorithm  neural network  iterative algorithm  direction of arrival estimation
本文献已被 CNKI 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号