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 in | IEEE transactions on antennas and propagation Vol. 67; no. 2; pp. 1223 - 1232 | 
|---|---|
| Main Authors | , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        New York
          IEEE
    
        01.02.2019
     The Institute of Electrical and Electronics Engineers, Inc. (IEEE)  | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 0018-926X 1558-2221  | 
| DOI | 10.1109/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. | 
    
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| 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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| References | ref13 proakis (ref14) 2008 ref12 salama (ref7) 2016; 16 (ref5) 2018 ref11 ref10 ref2 ref1 ref16 chong (ref17) 2001 (ref20) 2016 ref19 (ref18) 2018 ref8 (ref3) 2018 (ref21) 2018 ref9 van trees (ref15) 2002 ref6 (ref4) 2018  | 
    
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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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