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Game Theoretic Countermeasure Analysis for Multistatic Radars and Multiple Jammers
Author(s) -
He Bin,
Su Hongtao
Publication year - 2021
Publication title -
radio science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 84
eISSN - 1944-799X
pISSN - 0048-6604
DOI - 10.1029/2020rs007202
Subject(s) - computer science , jamming , beamforming , multistatic radar , weight , nash equilibrium , radar , countermeasure , passive radar , interference (communication) , power (physics) , convergence (economics) , algorithm , bistatic radar , mathematical optimization , telecommunications , mathematics , engineering , radar imaging , channel (broadcasting) , aerospace engineering , physics , quantum mechanics , lie algebra , economic growth , pure mathematics , economics , thermodynamics
Radar and jammer can be considered as two players in the countermeasure game of electronic warfare (EW). A game framework for joint beamforming and power allocation is investigated for multistatic radars and multiple jammers in this paper. Under a certain target detection criterion, the major aim of every radar is to reduce its power consumption and suppress various jammings. Conversely, the multi‐agent jammers determine their transmitting power strategies to interfere with the multistatic radar network, which is based on the transmitting power of the radars. According to the countermeasure game, both existence and uniqueness are strictly confirmed about the Nash Equilibrium (NE) of the proposed game. Besides, the receive beamformer weight vector can be obtained by minimum variance distortionless response (MVDR). And the corresponding transmit beamformer weight vector is also obtained. An algorithm for joint beamforming and power allocation is proposed, which is iteratively convergent. Finally, the convergence and validity for the proposed algorithm and the interference rejection capability of the multistatic radars are supported by the numerical results.