A beamforming method in UWB pulse array based on neural network

被引：0
|
作者：
Wang, M [1 ]
Yang, SY [1 ]
Wu, SJ [1 ]
机构：
[1] Xidian Univ, Natl Lab Radar Signal Proc, Dept Elect Engn, Xian 710071, Peoples R China
来源：
2005 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), VOLS 1-6, CONFERENCE PROCEEDINGS | 2005年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, the principles and algorithm of array beamforming based on a realistic ultrawide-band (carrier free) pulse signal model is discussed firstly. Then an UWB pulse array beamforming method based on a radial basis function (RBF) neural network is presented. It can compensate the propagation delays accurately in each channel and form a narrow directivity beam in a desired direction. Compared with the method of employing FIR filter for delay steering in wideband beamforming, the RBF approach has its advantage in achieving arbitrary array response. The simulation results show that the beam formed by RBF has high gain main and very low sidelobe, in addition to rapid and accurate processing for the high parallelism and mapping ability of the neural network.
引用
收藏
页码：3946 / 3949
页数：4
相关论文
共 50 条
  • [41] A novel design method for UWB pulse based on the bandwidth constraint
    Zou, WX
    Zhou, Z
    INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS AND INFORMATION TECHNOLOGIES 2005, VOLS 1 AND 2, PROCEEDINGS, 2005, : 1013 - 1016
  • [42] Convolutional neural network for 2D adaptive beamforming of phased array antennas with robustness to array imperfections
    Sallam, Tarek
    Attiya, Ahmed M.
    INTERNATIONAL JOURNAL OF MICROWAVE AND WIRELESS TECHNOLOGIES, 2021, 13 (10) : 1096 - 1102
  • [43] A Multiple Beamforming Network for Unequally Spaced Linear Array Based on CORPS
    Arce, Armando
    Cardenas-Juarez, Marco
    Pineda-Rico, Ulises
    Covarrubias, David H.
    Stevens-Navarro, Enrique
    INTERNATIONAL JOURNAL OF ANTENNAS AND PROPAGATION, 2015, 2015
  • [44] NEURAL NETWORK BASED SPECTRAL MASK ESTIMATION FOR ACOUSTIC BEAMFORMING
    Heymann, Jahn
    Drude, Lukas
    Haeb-Umbach, Reinhold
    2016 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING PROCEEDINGS, 2016, : 196 - 200
  • [45] 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
  • [46] 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
  • [47] DIGITAL BEAMFORMING OF A LINEAR FM PULSE ARRAY.
    Yang, Binan
    IEE Proceedings, Part F: Communications, Radar and Signal Processing, 1987, 134 (07): : 709 - 714
  • [48] SRD-Based Pulse Generator for UWB Wireless Network Applications
    Issa, Hanady H.
    Eisa, Saleh M.
    Shehata, Khaled A.
    Ragai, Hani F.
    2013 INTERNATIONAL CONFERENCE ON COMPUTER APPLICATIONS TECHNOLOGY (ICCAT), 2013,
  • [49] Graph neural network based on RRAM array
    Yan, Longhao
    Zhu, Yihang
    Jing, Zhaokun
    Duan, Qingxi
    Huang, Ru
    Yang, Yuchao
    6TH IEEE ELECTRON DEVICES TECHNOLOGY AND MANUFACTURING CONFERENCE (EDTM 2022), 2022, : 403 - 405
  • [50] Fault diagnosis based on pulse coupled neural network and probability neural network
    Wang, Changqing
    Zhou, Jianzhong
    Qin, Hui
    Li, Chaoshun
    Zhang, Yongchuan
    EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (11) : 14307 - 14313
12345