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A Multicarrier Phase‐Coded Waveform Design Scheme for Joint Radar and Communication System
Author(s) -
Zhen DU,
Zenghui ZHANG,
Wenxian YU
Publication year - 2021
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2021.05.020
Subject(s) - semidefinite programming , waveform , computer science , algorithm , convex optimization , mathematical optimization , relaxation (psychology) , constraint (computer aided design) , clutter , radar , mathematics , regular polygon , telecommunications , psychology , social psychology , geometry
A Multicarrier phase‐coded (MCPC) waveform design scheme with two steps for Joint radar and communication (JRC) system is developed. Firstly, an integrated MCPC waveform design method is addressed by simultaneously maximizing the Signal‐to‐clutter‐to‐noise ratio (SCNR) and the Shannon capacity, subject to both the Integrated sidelobe level ratio (ISLR) constraint and the energy constraint. This model is theoretically proved to be a convex optimization problem with respect to the absolute squares of the transmit weights corresponding to different subcarriers, of which the analytical result is also discussed. Subsequently, by further optimizing the phases of the transmit weights, minimizing the Peak to average power ratio (PAPR) for JRC system is recast as a Semidefinite programming (SDP) problem, which can be effectively solved with the Semidefinite relaxation (SDR) technique via Eigenvalue decomposition (EVD) or Complex Gaussian randomization (CGR). Numerical examples are provided to verify the effectiveness of the proposed scheme.

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