Source Localization Using Virtual Antenna Arrays

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title = "Source Localization Using Virtual Antenna Arrays",
abstract = "Using antenna arrays for direction of arrival (DoA) estimation and source localization is a well-researched topic. In this paper, we analyze virtual antenna arrays for DoA estimation where the antenna array geometry is acquired using data from a low-cost inertial measurement unit (IMU). Performance evaluation of an unaided inertial navigation system with respect to individual IMU sensor noise parameters is provided using a state space based extended Kalman filter. Secondly, using Monte Carlo simulations, DoA estimation performance of random 3-D antenna arrays is evaluated by computing Cram{\'e}r-Rao lower bound values for a single plane wave source located in the far field of the array. Results in the paper suggest that larger antenna arrays can provide significant gain in DoA estimation accuracy, but, noise in the rate gyroscope measurements proves to be a limiting factor when making virtual antenna arrays for DoA estimation and source localization using single antenna devices.",
keywords = "Direction of Arrival, Angle of Arrival, Unaided Inertial Navigation System, Localization, Inertial Measurement Unit, Virtual Antenna Array",
author = "Yaqoob, {Muhammad Atif} and Anders Mannesson and Butt, {Naveed R.} and Fredrik Tufvesson",
year = "2015",
doi = "10.1109/ICL-GNSS.2015.7217142",
language = "English",
editor = "Jari Nurmi",
booktitle = "2015 International Conference on Localization and GNSS (ICL-GNSS)",
publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",