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    Golay Complementary Waveforms in Reed-Muller Sequences for Radar Detection of Nonzero Doppler Targets

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    Author
    Zhu, J; Wang, X; Huang, X; Suvorova, S; Moran, B
    Date
    2018-01-01
    Source Title
    Sensors
    Publisher
    MDPI
    University of Melbourne Author/s
    Moran, William; Suvorova, Sofia; WANG, XUEZHI; Jiahua, Zhu
    Affiliation
    Electrical and Electronic Engineering
    Metadata
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    Document Type
    Journal Article
    Citations
    Zhu, J., Wang, X., Huang, X., Suvorova, S. & Moran, B. (2018). Golay Complementary Waveforms in Reed-Muller Sequences for Radar Detection of Nonzero Doppler Targets. SENSORS, 18 (1), https://doi.org/10.3390/s18010192.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/255229
    DOI
    10.3390/s18010192
    Open Access at PMC
    http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795560
    Abstract
    Golay complementary waveforms can, in theory, yield radar returns of high range resolution with essentially zero sidelobes. In practice, when deployed conventionally, while high signal-to-noise ratios can be achieved for static target detection, significant range sidelobes are generated by target returns of nonzero Doppler causing unreliable detection. We consider signal processing techniques using Golay complementary waveforms to improve radar detection performance in scenarios involving multiple nonzero Doppler targets. A signal processing procedure based on an existing, so called, Binomial Design algorithm that alters the transmission order of Golay complementary waveforms and weights the returns is proposed in an attempt to achieve an enhanced illumination performance. The procedure applies one of three proposed waveform transmission ordering algorithms, followed by a pointwise nonlinear processor combining the outputs of the Binomial Design algorithm and one of the ordering algorithms. The computational complexity of the Binomial Design algorithm and the three ordering algorithms are compared, and a statistical analysis of the performance of the pointwise nonlinear processing is given. Estimation of the areas in the Delay-Doppler map occupied by significant range sidelobes for given targets are also discussed. Numerical simulations for the comparison of the performances of the Binomial Design algorithm and the three ordering algorithms are presented for both fixed and randomized target locations. The simulation results demonstrate that the proposed signal processing procedure has a better detection performance in terms of lower sidelobes and higher Doppler resolution in the presence of multiple nonzero Doppler targets compared to existing methods.

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