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DoA Estimation Using Compact CRLH Leaky-Wave Antennas: Novel Algorithms and Measured Performance
Journal article   Open access   Peer reviewed

DoA Estimation Using Compact CRLH Leaky-Wave Antennas: Novel Algorithms and Measured Performance

Henna Paaso, Nikhil Gulati, Damiano Patron, Aki Hakkarainen, Janis Werner, Kapil R Dandekar, Mikko Valkama and Aarne Mammela
IEEE transactions on antennas and propagation, v 65(9), pp 4836-4849
Sep 2017
url
https://doi.org/10.1109/TAP.2017.2724584View
Published, Version of Record (VoR) Open

Abstract

Antenna measurements Direction-of-arrival estimation Estimation direction-of-arrival (DoA) estimation Directive antennas directional antennas leaky-wave antennas (LWAs) Multiple signal classification Cramer–Rao bound (CRB) multiple signal classification (MUSIC) Antenna arrays measurements
Traditional direction-of-arrival (DoA) estimation algorithms for multielement antenna arrays (AAs) are not directly applicable to reconfigurable antennas due to inherent design and operating differences between AAs and reconfigurable antennas. In this paper, we propose novel modifications to the existing DoA algorithms and show how these can be adapted for real-time DoA estimation using two-port composite right/ left-handed (CRLH) reconfigurable leaky-wave antennas (LWAs). First, we propose a single/two-port multiple signal classification (MUSIC) algorithm and derive the corresponding steering vector for reconfigurable LWAs. We also present a power pattern cross correlation algorithm that is based on finding the maximum correlation between the measured radiation patterns and the received powers. For all algorithms, we show how to simultaneously use both ports of the two-port LWA in order to improve the DoA estimation accuracy and, at the same time, reduce the scanning time for the arriving signals. Moreover, we formulate the Cramer-Rao bound for MUSIC-based DoA estimation with LWAs and present an extensive performance evaluation of MUSIC algorithm based on numerical simulations. In addition, these results are compared to DoA estimation with conventional AAs. Finally, we experimentally evaluate the performance of the proposed algorithms in an indoor multipath wireless environment with both line-of-sight (LoS) and non-LoS components. Our results demonstrate that DoA estimation of the received signal can be successfully performed using the two-port CRLH-LWA, even in the presence of severe multipath.

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Web of Science research areas
Engineering, Electrical & Electronic
Telecommunications
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