基于FFT和谱线改进的DOA估计方法  

Improved Method of DOA Estimation Based on FFT and Spectral Line

作　　者：王玉茹 龚晓峰[1] WANG Yu-ru;GONG Xiao-feng(College of Electrical Engineering,Sichuan University,Chengdu Sichuan 610065,China)

机构地区：[1]四川大学电气工程学院,四川成都610065

出　　处：《计算机仿真》2022年第11期285-289,共5页Computer Simulation

基　　金：四川省重点研发计划项目(2020YFG0051)。

摘　　要：在小快拍数、低信噪比以及信号来波方向角度较近等恶劣情况下,经典的多重信号分类(Multiple signal classification,MUSIC)算法分辨率将严重下降。现提出了一种基于快速傅里叶变换FFT与谱线改进方法的波达方向(Direction of Arrival,DOA)高效估计方法。在预处理阶段,采用窗函数与FFT算法,粗略估计信号源来波方向,再进行二阶导数运算,精确估计DOA。仿真表明,上述算法能在上述情况同时存在时,高效分辨信号DOA并降低计算量。In bad conditions of snapshot deficiency,low signal to noise ratio,and relatively close angle of signal directions of arrival,the resolution of classical multiple signal classification(MUSIC)algorithm declines terribly.Focusing on this problem,an efficient estimation method of Direction of Arrival(DOA)based on Fast Fourier Transformation(FFT)and spectral line improvement is proposed.In the preprocessing stage,we used window function and FFT algorithm to roughly estimate DOA,and then carried out the precise DOA with the second derivative.The simulation results show that the algorithm can efficiently estimate DOA and reduce the computation when the above conditions exist simultaneously.

关 键 词：波达方向估计 窗函数 快速傅里叶变换 谱线改进 

分 类 号：TP911[自动化与计算机技术]