Full Text:   <1847>

Summary:  <9>

CLC number: TN958

On-line Access: 2022-04-20

Received: 2020-11-19

Revision Accepted: 2022-05-04

Crosschecked: 2021-06-23

Cited: 0

Clicked: 3312

Citations:  Bibtex RefMan EndNote GB/T7714


Bin HE


Hongtao SU


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Frontiers of Information Technology & Electronic Engineering  2022 Vol.23 No.4 P.617-629


Supermodular interference suppression game for multistatic MIMO radar networks and multiple jammers with multiple targets

Author(s):  Bin HE, Hongtao SU

Affiliation(s):  National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China; more

Corresponding email(s):   aihebin19@163.com, suht@xidian.edu.cn

Key Words:  Supermodular game, Power allocation, Beamforming, MIMO radar, Multiple jammers

Bin HE, Hongtao SU. Supermodular interference suppression game for multistatic MIMO radar networks and multiple jammers with multiple targets[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(4): 617-629.

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%A Hongtao SU
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%I Zhejiang University Press & Springer
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T1 - Supermodular interference suppression game for multistatic MIMO radar networks and multiple jammers with multiple targets
A1 - Bin HE
A1 - Hongtao SU
J0 - Frontiers of Information Technology & Electronic Engineering
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.2000652

To deal with the threat of the new generation of electronic warfare, we establish a non-cooperative countermeasure game model to analyze power allocation and interference suppression between multistatic multiple-input multiple-output (MIMO) radars and multiple jammers in this study. First, according to the power allocation strategy, a supermodular power allocation game framework with a fixed weight (FW) vector is constructed. At the same time, a constrained optimization model for maximizing the radar utility function is established. Based on the utility function, the best power allocation strategies for the radars and jammers are obtained. The existence and uniqueness of the Nash equilibrium (NE) of the supermodular game are proved. A supermodular game algorithm with FW is proposed which converges to the NE. In addition, we use adaptive beamforming methods to suppress cross-channel interference that occurs as direct wave interferences between the radars and jammers. A supermodular game algorithm for joint power allocation and beamforming is also proposed. The algorithm can ensure the best power allocation, and also improves the interference suppression ability of the MIMO radar. Finally, the effectiveness and convergence of two algorithms are verified by numerical results.




Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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