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    Frequency Diverse Array Radar: New Results and Discrete Fourier Transform Based Beampattern

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    Type
    Article
    Authors
    Zubair, Muhammad
    Ahmed, Sajid
    Alouini, Mohamed-Slim cc
    KAUST Department
    Communication Theory Lab
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2020
    Permanent link to this record
    http://hdl.handle.net/10754/662479
    
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    Abstract
    In the phased-array radar signals from each antenna are transmitted at the same carrier frequency, which yields narrowly focused only angle dependent beampattern. In contrast, in the frequency-diverse-array (FDA) radar signals from antenna array are generally transmitted at linearly increasing frequencies that yields range, time, and angle dependent beampattern. Reported literature on FDA radar missed the contribution of path-differences in the signal model due to the antenna array elements, which may lead to misleading results. In this work, incorporating missed path-differences, the signal model of FDA radar is reanalyzed for reliable results. Moreover, a novel low complexity algorithm based on discrete-Fourier-transform (DFT) is proposed for the desired beampattern. In contrast to the standard FDA radar's \enquote{S} shaped beampattern, the beampattern of the proposed algorithm changes linearly with range and time. Furthermore, spatial exploration of FDA radar is derived and it is found that it depends on the frequency-offset and pulse-duration. Finally, the bound on the product of frequency offset and pulse duration is derived. Simulation results compare the performance of our proposed algorithm with the existing ones and show the superiority of our proposed algorithm.
    Citation
    Zubair, M., Ahmed, S., & Alouini, M. (2020). Frequency Diverse Array Radar: New Results and Discrete Fourier Transform Based Beampattern. IEEE Transactions on Signal Processing, 1–1. doi:10.1109/tsp.2020.2985587
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Transactions on Signal Processing
    DOI
    10.1109/TSP.2020.2985587
    arXiv
    1910.09467
    Additional Links
    https://ieeexplore.ieee.org/document/9057739/
    https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9057739
    http://arxiv.org/pdf/1910.09467
    http://arxiv.org/pdf/1910.09467
    ae974a485f413a2113503eed53cd6c53
    10.1109/TSP.2020.2985587
    Scopus Count
    Collections
    Articles; Electrical and Computer Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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