@inproceedings{ee729691e7b948a198cfeee72744308f,
title = "Reduced rank TLS array interpolation for DOA estimation",
abstract = "Important array signal processing techniques such as Spatial Smoothing, Forward Backward Averaging and Root- MUSIC require arrays with precise and specific geometries and responses. However, building sensor arrays with such demanding characteristics is not always possible. To deal with these possible limitations the real array response can be interpolated into the desired response applying array interpolation methods. In this work we study array interpolation methods for cases where the knowledge of the real array response is incomplete or contains errors. To address these imperfections a novel Total Least Squares (TLS) approach for calculating the transformation matrices is presented. Furthermore, a novel reduced rank regression approach is used to reduce the bias introduced by the transformation matrix onto the final direction of arrival (DOA) estimation.",
keywords = "Array interpolation, Array mapping, Reduced rank regression, Total least squares",
author = "Marinho, {Marco A.M.} and Felix Antreich and {Da Costa}, {Jo{\~a}o Paulo C.L.} and Nossek, {Josef A.}",
note = "Publisher Copyright: {\textcopyright} VDE Verlag GMBH · Berlin · Offenbach, Germany.; 18th International ITG Workshop on Smart Antennas, WSA 2014 ; Conference date: 12-03-2014 Through 13-03-2014",
year = "2014",
language = "English",
series = "WSA 2014; 18th International ITG Workshop on Smart Antennas",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "WSA 2014; 18th International ITG Workshop on Smart Antennas",
}