Designing unimodular waveforms with a desired beampattern, spectral occupancy, and orthogonality level is of vital importance in the next-generation multiple-input multiple-output (MIMO) radar systems. Motivated by this fact, in this article, we propose a framework for shaping the beampattern in MIMO radar systems under the constraints simultaneously ensuring the unimodularity, desired spectral occupancy, and orthogonality of the designed waveform. In this manner, the proposed framework is the most comprehensive approach for MIMO radar waveform design focusing on beampattern shaping. The problem formulation leads to a nonconvex quadratic fractional programming. We propose an effective iterative to solve the problem, where each iteration is composed of a semidefinite programming followed by eigenvalue decomposition. Some numerical simulations are provided to illustrate the superior performance of our proposed over the state of the art.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    MIMO Radar Transmit Beampattern Shaping for Spectrally Dense Environments




    Publication date :

    2023-04-01


    Size :

    2285234 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Spectrally Compatible MIMO Radar Beampattern Design Under Constant Modulus Constraints

    Alhujaili, Khaled / Yu, Xianxiang / Cui, Guolong et al. | IEEE | 2020


    Colocated MIMO radar waveform design for transmit beampattern formation

    Haisheng Xu, / Blum, Rick S. / Jian Wang, et al. | IEEE | 2015


    Sparse Representation Framework for MIMO Radar Transmit Beampattern Matching Design

    Zeng-Fei Cheng, / Yong-Bo Zhao, / Hui Li, et al. | IEEE | 2017