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    Generalised two target localisation using passive monopulse radar

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    Type
    Article
    Authors
    Jardak, Seifallah cc
    Ahmed, Sajid
    Alouini, Mohamed-Slim cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    KAUST Grant Number
    URF/1/1713-01-01
    Date
    2017-04-07
    Permanent link to this record
    http://hdl.handle.net/10754/625572
    
    Metadata
    Show full item record
    Abstract
    The simultaneous lobing technique, also known as monopulse technique, has been widely used for fast target localisation and tracking purposes. Many works focused on accurately localising one or two targets lying within a narrow beam centred around the monopulse antenna boresight. In this study, a new approach is proposed, which uses the outputs of four antennas to rapidly localise two point targets present in the hemisphere. If both targets have the same elevation angle, the proposed scheme cannot detect them. To detect such targets, a second set of antennas is required. In this study, to detect two targets at generalised locations, the antenna array is divided into multiple overlapping sets each of four antennas. Two algorithms are proposed to combine the outputs from multiple sets and improve the detection performance. Simulation results show that the algorithm is able to localise both targets with <;2° mean square error in azimuth and elevation.
    Citation
    Jardak S, Ahmed S, Alouini M-S (2017) Generalised two target localisation using passive monopulse radar . IET Radar, Sonar & Navigation 11: 932–936. Available: http://dx.doi.org/10.1049/iet-rsn.2016.0495.
    Sponsors
    This research was funded by a grant from the office of competitive research funding (OCRF) at the King Abdullah University of Science and Technology (KAUST) under grant number URF/1/1713-01-01.
    Publisher
    Institution of Engineering and Technology (IET)
    Journal
    IET Radar, Sonar & Navigation
    DOI
    10.1049/iet-rsn.2016.0495
    Additional Links
    http://ieeexplore.ieee.org/document/7958942/
    ae974a485f413a2113503eed53cd6c53
    10.1049/iet-rsn.2016.0495
    Scopus Count
    Collections
    Articles; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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