Power Allocation For MIMO Radar And MIMO Communications Systems Based On Cooperative And Non-cooperative Game

Without sacrificing the main advantages of traditional phased array radar,MIMO radar uses multiple transmit and multiple receive antennas to improve the spatial resolution.The spatial multiplexing technology used in MIMO communications brings higher data rate and reliability.Combining the advantages of both MIMO radar and MIMO communications,this thesis studies MIMO radar and MIMO communications systems.Current research divides radar and communications systems into dual-function radarcommunications(DFRC)systems,co-existing radar and communications(CERC)systems,and cooperative CERC systems.DFRC systems use integrated signals to complete radar and communications tasks,and the CERC systems study the interference suppression of radar and communications on basis of the original system.The cooperative CERC systems presented in the thesis,on basis of the CERC systems,share information such as location,signal,and power.The echo signal reflected by the target to the radar can assist the radar to detect the target,and the communications echo reflected by the radar target path is used to enhance the communications performance.Power allocation is the research hotspot for radar and communications systems.This thesis proposes a game-based theory and algorithm to solve the power allocation problem of the cooperative MIMO CERC system,and carries out the following work:(1)The received signal models of radar subsystem and communications subsystem are established for the cooperative CERC system.The target detector of the radar subsystem in the cooperative CERC system is given,the detection probability is deduced and used as the performance parameter of the radar task,and the mutual information of the communication is deduced as the performance parameter of the communications task.(2)Based on the above performance parameter,considering that both radar and communications are mainly aimed at improving their respective performance,using game theory,the radar subsystem and communications subsystem are regarded as two players in a non-cooperative game,and establishing the multi-objective optimization problem of cooperative CERC system based on non-cooperative game.According to the non-cooperative game theory,find the Nash equilibrium point of radar and communications under noncooperative game,the Nash equilibrium point is the solution of power allocation optimization problem.(3)Based on the same performance parameters,considering that both radar and communications are mainly aimed at improving the overall performance,the radar subsystem and communications subsystem are regarded as two players in a cooperative game.This thesis further establishes a cooperative CERC system power allocation optimization problem based on the cooperative game.We study the Nash bargaining solution applicable to cooperative game,namely the Pareto optimal solution of the optimization problem.The research work in this thesis shows that cooperative CERC systems can improve radar and communications performance through cooperation.The non-cooperative game method is used to allocate the power of the cooperative CERC system,and under the premise of a certain total power,it is beneficial to further improve the respective performances of radar and communications;while the cooperative game method is beneficial to the overall performance improvement of the cooperative CERC system.Therefore,it is recommended to choose non-cooperative game when the single task is the main priority,and choose cooperative game when the overall performance is the main priority.