Synchronization of Multiple Independent Subarray Antennas: An Application for Angle of Arrival Estimation

In this paper, we present a new algorithm to synchronize multiple individual receiving subarray antennas to form an augmented array antenna system. This augmented array antenna has a large antenna aperture that can be used for angle of arrival (AoA) estimations and it provides a better AoA estimatio...

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Published inIEEE transactions on antennas and propagation Vol. 67; no. 2; pp. 1223 - 1232
Main Authors BniLam, Noori, Steckel, Jan, Weyn, Maarten
Format Journal Article
LanguageEnglish
Published New York IEEE 01.02.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
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ISSN0018-926X
1558-2221
DOI10.1109/TAP.2018.2880014

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Abstract In this paper, we present a new algorithm to synchronize multiple individual receiving subarray antennas to form an augmented array antenna system. This augmented array antenna has a large antenna aperture that can be used for angle of arrival (AoA) estimations and it provides a better AoA estimation accuracy than the individual subarray antennas. The proposed algorithm synchronizes the time and the frequency of the different subarray antennas, using a joint maximum likelihood (ML) optimization for a data-aided received signal. The phase coherency between the subarray antennas is achieved by using a combination of the least mean square and ML algorithms. The experimental results and the simulation example show that the proposed algorithm: 1) is stable in estimating the augmented array antenna pattern; 2) provides more accurate AoA estimations than the individual subarray antennas; 3) has no limitation to the structure of the augmented array antenna in space; and 4) converges very fast. Furthermore, the experimental results prove the feasibility of using AoA estimation techniques for Internet of Things localization in outdoor environments.
AbstractList In this paper, we present a new algorithm to synchronize multiple individual receiving subarray antennas to form an augmented array antenna system. This augmented array antenna has a large antenna aperture that can be used for angle of arrival (AoA) estimations and it provides a better AoA estimation accuracy than the individual subarray antennas. The proposed algorithm synchronizes the time and the frequency of the different subarray antennas, using a joint maximum likelihood (ML) optimization for a data-aided received signal. The phase coherency between the subarray antennas is achieved by using a combination of the least mean square and ML algorithms. The experimental results and the simulation example show that the proposed algorithm: 1) is stable in estimating the augmented array antenna pattern; 2) provides more accurate AoA estimations than the individual subarray antennas; 3) has no limitation to the structure of the augmented array antenna in space; and 4) converges very fast. Furthermore, the experimental results prove the feasibility of using AoA estimation techniques for Internet of Things localization in outdoor environments.
Author BniLam, Noori
Steckel, Jan
Weyn, Maarten
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SubjectTerms Adaptive array antenna systems
Algorithms
Angle of arrival
angle of arrival (AoA) estimation
Antenna arrays
Antennas
Apertures
Array signal processing
Computer simulation
Estimation
Frequency synchronization
Internet of Things (IoT) localization
least mean square (LMS) algorithm
maximum likelihood (ML) algorithm
pattern beamforming
Receiving antennas
Synchronization
Time synchronization
Title Synchronization of Multiple Independent Subarray Antennas: An Application for Angle of Arrival Estimation
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