Direction-of-arrival estimation in sensor arrays for moving terminals

Dah Chung Chang, Bo Wei Zheng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The beamforming technique usually employs multiple sensors or sensor array to enhance receiving signals such that the generalized sidelobe canceler (GSC) is commonly applied for eliminating interfering signals. In this paper, a new direction-of-arrival (DOA) estimation method is studied for the GSC with a moving terminal in the arrayed wireless sensor network. In our simulations, the beamformer's weighting coefficients are estimated with an augmented Kalman filter (AKF), the standard Kalman filter (KF), and the least mean square (LMS) algorithms. The results show that the AKF has better convergence rate and GSC's output SINR performance than other algorithms.

Original languageEnglish
Title of host publication2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages643-644
Number of pages2
ISBN (Electronic)9781509061969
DOIs
StatePublished - 17 Jul 2017
Event14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017 - Las Vegas, United States
Duration: 8 Jan 201711 Jan 2017

Publication series

Name2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017

Conference

Conference14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017
Country/TerritoryUnited States
CityLas Vegas
Period8/01/1711/01/17

Keywords

  • Beamforming
  • DOA
  • GSC
  • Kalman filter
  • Sensor array
  • Wireless sensor network

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