• DocumentCode
    10829
  • Title

    An Indoor AOA Estimation Algorithm for IEEE 802.11ac Wi-Fi Signal Using Single Access Point

  • Author

    Fuxi Wen ; Chen Liang

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • Volume
    18
  • Issue
    12
  • fYear
    2014
  • fDate
    Dec. 2014
  • Firstpage
    2197
  • Lastpage
    2200
  • Abstract
    We propose an indoor angle-of-arrival (AOA) estimation algorithm for IEEE 802.11ac Wi-Fi signal using single access point (AP) with multiple antennas. The auto-focusing method is first used to obtain a coherently combined matrix among different subcarrier frequencies. After that, we implement Toeplitz processing on the coherently combined matrix to decorrelate the received multipath signals in spatial domain. Simulation and experiment results in an indoor multipath environment show that our proposed method outperforms the conventional auto focusing method by a significant margin, when the multipath signals are highly correlated. For the case with low correlations, both methods can obtain the AOAs with high accuracy. The observations are validated by both simulations and indoor multipath experiments.
  • Keywords
    Toeplitz matrices; antenna arrays; decorrelation; direction-of-arrival estimation; indoor radio; wireless LAN; AP; IEEE 802.11ac Wi-Fi signal; Toeplitz processing; autofocusing method; coherently combined matrix; indoor AOA estimation algorithm; indoor angle-of-arrival estimation algorithm; multipath signal decorrelation; multiple antenna; single access point; spatial domain; subcarrier frequency; Antennas; Estimation; IEEE 802.11 Standards; Multiple signal classification; Signal to noise ratio; EEE 802.11ac; IEEE 802.11ac; Indoor angle-of-arrival estimation; Toeplitz processing; Wi-Fi signal; focusing matrix; multipath; wi-fi signal;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2014.2364852
  • Filename
    6936309