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    Compressive Sensing Technique for Mitigating Nonlinear Memory Effects in Radar Receivers

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    Type
    Article
    Authors
    Ward, Euan
    Gishkori, Shahzad Sarwar cc
    Mulgrew, Bernard
    KAUST Department
    Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
    Date
    2021
    Permanent link to this record
    http://hdl.handle.net/10754/671205
    
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    Abstract
    Receiver nonlinearities pose a serious risk to the functionality of modern radar as they can compromise the sensors immunity to interfering signals. With the radio frequency (RF) spectrum becoming increasingly crowded, it is now more important than ever that the sensor can maintain system performance when exposed to interference. In this paper, we present a nonlinear compressive sensing (NCS) solution which, unlike the standard nonlinear equalisation (NLEQ) techniques, is designed around the forward nonlinearity rather than the inverse. Importantly, in this study the NCS theory is extended to include nonlinear memory. Furthermore, a radar specific formalisation is derived which allows the NCS algorithm to exploit the unique properties of pulsed-Doppler radar processing. As a result, the NCS solution can successfully restore system sensitivity back to the linear case when in-band interference drives the radar receiver into its nonlinear regime. Additionally, it is shown that the technique can consistently mitigate complex nonlinear memory effects generated in the RF receiver. This is a significant result as it proves that forward modelling techniques are a viable alternative to NLEQ. This is of particular importance to radar systems as they provide a far more explicit formalisation to mitigate nonlinear memory effects.
    Citation
    Ward, E., Gishkori, S., & Mulgrew, B. (2021). Compressive Sensing Technique for Mitigating Nonlinear Memory Effects in Radar Receivers. IEEE Transactions on Aerospace and Electronic Systems, 1–1. doi:10.1109/taes.2021.3112116
    Publisher
    IEEE
    Journal
    IEEE Transactions on Aerospace and Electronic Systems
    DOI
    10.1109/TAES.2021.3112116
    Additional Links
    https://ieeexplore.ieee.org/document/9536427/
    https://ieeexplore.ieee.org/document/9536427/
    https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9536427
    ae974a485f413a2113503eed53cd6c53
    10.1109/TAES.2021.3112116
    Scopus Count
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    Articles; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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