@inproceedings{02676452ee15468dba5ee732759a799b,
title = "Performance Evaluation for Direction of Arrival Estimation Using 4-Element Linear Array",
abstract = "This paper presents the performance evaluation of Direction of Arrival (DOA) estimation techniques such as Root-MUSIC, Root-WSF and Beamspace-ESPRIT (BS-ESPRIT) algorithms under common Wi-Fi conditions such as operating in the IEEE radio frequency spectrum of 5 GHz band, the presence of noise and correlated, closely sourced signals. In addition, we will consider the computational time required for these algorithms to complete the estimation process. Results have shown that the 3 techniques provide a mean of 98.8\% accuracy in detecting closely-sourced signals. Although Root-WSF has the longest average computational time of 36.7ms as opposed to BS-ESPRIT and Root-MUSIC at 29.4ms and 22.5ms respectively, Root-WSF technique performed best overall especially in detecting coherent signals with 99.78\% accuracy as compared to BS-ESPRIT at 95.27\% and Root-MUSIC at 64.77\%.",
keywords = "Antenna Array, Direction-Of-Arrival, Wi-Fi",
author = "Murdifi Muhammad and Minghui Li and Abbasi, \{Qammer H.\} and Cindy Goh and Muhammad Imran",
note = "Publisher Copyright: {\textcopyright} 2019 European Association on Antennas and Propagation.; 13th European Conference on Antennas and Propagation, EuCAP 2019 ; Conference date: 31-03-2019 Through 05-04-2019",
year = "2019",
month = mar,
language = "English",
series = "13th European Conference on Antennas and Propagation, EuCAP 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "13th European Conference on Antennas and Propagation, EuCAP 2019",
address = "United States",
}