华东师范大学学报(自然科学版)

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基于小波变换的智能天线波达方向估计研究

李 娜[1,2], 殷兴辉[2], 高文昀[2]   

  1. 1. 宿州学院 机械与电子工程学院, 安徽 宿州 234000;
    2. 河海大学 计算机与信息学院, 南京 211100
  • 收稿日期:2015-09-10 出版日期:2016-11-25 发布日期:2017-01-13
  • 通讯作者: 李 娜, 女, 博士, 主要研究方向为射频与通信系统. E-mail: 94115399@qq.com.
  • 基金资助:

    国家自然科学基金(11173010, U1531101)

Research of smart antennas DOA estimation based on wavelet transformer

LI Na[1,2], YIN Xing-hui[2],  GAO Wen-yun[2]   

  1. 1. College of Mechanical and Electronic Engineering, Suzhou University, Suzhou Anhui 234000, China;
    2. College of Computer and Information, Hohai University, Nanjing 211100, China
  • Received:2015-09-10 Online:2016-11-25 Published:2017-01-13

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摘要：

对比两种经典的智能天线波达方向(Direction of Arrival, DOA)估计算法------延迟-相加算法、 多重信号分类(Multiple Signal Classification, MUSIC)算法, 提出了一种基于小波变换的智能天线波达方向估计算法(Smart Antennas Direction of Arrival Eseimation Based on Wavelet Transformer, SADOAWT), 该算法利用小波变换, 将来波信号变换在多尺度频域, 针对不同频域采用不同算法以实现分辨率、计算复杂度的高度兼顾. 计算机仿真结果表明, 新算法复杂度较低, 克服了延迟-相加算法分辨率低、副瓣较多的缺点, 避免了 MUSIC 算法遇到相关信号分辨率降低的问题.

关键词: 波达方向估计, 延迟-相加算法, 多重信号分类算法, 小波变换

Abstract:

Having compared two classic smart antenna DOA (Direction of Arrival, DOA) estimation algorithm—delay-sum algorithm, multiple signal classification (MUSIC) algorithm, smart antennas direction of arrival estimation based on wavelet transformer (SADOAWT) algorithm has been proposed. Taking into account the computational complexity and convergence rate, the algorithm converts signal into multiple scales domain, while different frequency domain would use different algorithms. Simulation results show that the computational complexity of new algorithm is low. SADOAWT overcomes the disadvantages of delay-sum algorithm which has low resolution and many sidelobes, it also avoids the problem that resolution of MUSIC algorithm gets reduced while correlated signal coming.

Key words: DOA estimation, delay-sum algorithm, MUSIC, wavelet