Distributed multiple-input multiple-output (MIMO) Radar networks have the potential to significantly enhance target detection performance by adjusting transmitting polarizations based on target scattering characteristics. However, the optimal design of transmitting antenna polarization presents a discrete optimization problem that necessitates a more efficient solution. This article proposes an optimal polarization design approach for distributed MIMO radar networks. First, we establish a functional relationship between the detection probability of distributed polarized MIMO radar and the polarization mode of the transmitting antennas. Subsequently, we formulate the polarization design problem as a Stackelberg game, where each transmitting antenna acts as a participant, and the detection probability serves as the utility function. To solve the Stackelberg equilibrium, we employ the iterative whale algorithm. Through numerical simulations, we demonstrate that our proposed method outperforms traditional approaches such as random selection and single polarization. Furthermore, the whale algorithm exhibits rapid convergence with low computational complexity.
Optimal Polarization Design for Distributed MIMO Radar Networks: A Stackelberg Game Perspective
IEEE Transactions on Aerospace and Electronic Systems ; 59 , 6 ; 9332-9341
2023-12-01
2032966 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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