Advertisement

Research on the Fast Direction Estimation and Display Method of Far-Field Signal

  • Rong Liu
  • Jin ChenEmail author
  • Lei Yan
  • Ying Tong
  • Kai-kai Li
  • Chuan-ya Wang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 516)

Abstract

In the array signal processing, the direction of arrival (DOA) is a very important parameter. It can be used to estimate the spatial parameter or source location of signals, so it has been deeply studied by scholars and has been widely applied in radar detection, underwater operation, and mobile communication. In this paper, an array signal DOA estimation and display system are proposed. It adopts the fast beamforming algorithm, which is an improved algorithm based on the MVDR algorithm. By comparing the output power of different positions, the angle of the arrival of the signal to the array can be obtained. The system can manually set the basic parameters, such as the number of sensors, the frequency of sampling, the parameter of the filter, the transmission speed of the sound wave, and so on. Then, the waveform characteristics of the time and frequency domain of the original acquisition signal and the filtered signal are displayed intuitively, and the real-time waveform of the signal is displayed at the same time. Through theoretical analysis and simulation experiments, we can get that the related algorithm in this system is not only suitable for microphone array, but also can meet the application requirements of radar monitoring, underwater operation, and other fields.

Keywords

Array signal processing Direction of arrival (DOA) estimation Beamforming algorithm 

References

  1. 1.
    Yan FG, Rong JJ, Liu S, Shen Y, Jin M. Joint cross-covariance matrix based fast direction of arrival estimation. Syst Eng Electron. 2017;39:1–2.Google Scholar
  2. 2.
    Raimondi FED, Farias RC, Michel OJ, Comon P. Wideband multiple diversity tensor array processing. IEEE Trans Signal Process. 2017;65:5334–45.MathSciNetCrossRefGoogle Scholar
  3. 3.
    Li A, Masouros C, Sellathurai M. Analog-digital beamforming in the MU-MISO downlink by use of tunable antenna loads. IEEE Trans Veh Technol. 2018;67:3114–27.CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Rong Liu
    • 1
  • Jin Chen
    • 1
    Email author
  • Lei Yan
    • 2
  • Ying Tong
    • 1
  • Kai-kai Li
    • 1
  • Chuan-ya Wang
    • 1
  1. 1.Tianjin Key Laboratory of Wireless Mobile Communications and Power TransmissionTianjin Normal UniversityTianjinChina
  2. 2.Beijing Aerospace Measurement and Testing Technology InstituteBeijingChina

Personalised recommendations