Adaptive beamforming technique based on neural network

被引：0
|
作者：
Fan, Zehua [1 ]
Wilson, Jackson [1 ]
Grey, Alex [1 ]
机构：
[1] Lib Huazhong Univ Sci & Technol, Wuhan, Hubei, Peoples R China
来源：
ENGINEERING TECHNOLOGY AND APPLICATIONS | 2014年
关键词：
adaptive beamforming; radial basis function neural network; BP algorithm;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Adaptive beamforming can achieve better SNR by varying the weights of each of the sensors used in the array. The traditional beamforming methods cannot achieve the optimal performance in beamforming because of the mismatch between the assumed array response and true array response. A radial basis function neural network algorithm has been proposed in this paper to solve this problem by turning the processing of calculating weighting of arrays to mapping processing. The simulation results indicate that the proposed method can adapt the weighting according to the direction of source signal automotive, and the SNR can be increased significantly with the DOA mismatch at 2 degrees.
引用
收藏
页码：213 / 217
页数：5
相关论文
共 50 条
  • [41] Autoregressive and neural network model based predictions for downlink beamforming
    Yigit, H
    Kavak, A
    Ertunc, M
    ADVANCES IN NEURAL NETWORKS - ISNN 2004, PT 2, 2004, 3174 : 254 - 261
  • [42] Robust Beamforming With Gradient-Based Liquid Neural Network
    Wang, Xinquan
    Zhu, Fenghao
    Huang, Chongwen
    Alhammadi, Ahmed
    Bader, Faouzi
    Zhang, Zhaoyang
    Yuen, Chau
    Debbah, Merouane
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2024, 13 (11) : 3020 - 3024
  • [43] Neural Network Based Beamforming Using a Cylindrical Patch Array
    Gureken, Murat
    Dural, Guelbin
    Caylar, Selcuk
    2009 IEEE ANTENNAS AND PROPAGATION SOCIETY INTERNATIONAL SYMPOSIUM AND USNC/URSI NATIONAL RADIO SCIENCE MEETING, VOLS 1-6, 2009, : 365 - +
  • [44] Beamforming technique based on adaptive diagonal loading in wireless access networks
    Gao, Junqi
    Zhen, Jiaqi
    Lv, Yingnan
    Guo, Baoyu
    AD HOC NETWORKS, 2020, 107
  • [45] A Novel Realistic Approach of Adaptive Beamforming Based on Deep Neural Networks
    Mallioras, Ioannis
    Zaharis, Zaharias D.
    Lazaridis, Pavlos, I
    Pantelopoulos, Stelios
    IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2022, 70 (10) : 8833 - 8848
  • [46] Radial basis function neural network algorithm for adaptive beamforming in cellular communication systems
    El Zooghby, AH
    Christodoulou, CG
    Georgiopoulos, M
    1998 IEEE-APS CONFERENCE ON ANTENNAS AND PROPAGATION FOR WIRELESS COMMUNICATIONS, 1998, : 53 - 56
  • [47] Adaptive Beamforming Using Neural Network and Fuzzy logic Model for Measurement Data Fusion
    Anitha, M.
    Kurahatti, N. G.
    2015 INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND SIGNAL PROCESSING (ICCSP), 2015, : 209 - 213
  • [48] Adaptive propagation modelling using a hybrid neural network technique
    Gschwendtner, BE
    Landstorfer, FM
    ELECTRONICS LETTERS, 1996, 32 (03) : 162 - 164
  • [49] Adaptive beamforming based on minimum variance (ABF-MV) using deep neural network for ultrafast ultrasound imaging
    Wang, Wenping
    He, Qiong
    Zhang, Ziyou
    Feng, Ziliang
    ULTRASONICS, 2022, 126
  • [50] A neural network for robust LCMP beamforming
    Xia, Youshen
    Feng, Gang
    SIGNAL PROCESSING, 2006, 86 (10) : 2901 - 2912
12345