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 multipleinput m...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 multipleinput 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.展开更多
This study addresses the problem of jointly optimizing the transmit beamformers and power control in multi-user multiple-input multiple-output （MIMO） downlink. The objective is minimizing the total transmission powe...This study addresses the problem of jointly optimizing the transmit beamformers and power control in multi-user multiple-input multiple-output （MIMO） downlink. The objective is minimizing the total transmission power while satisfying the signal-to-noise plus interference ratio （SINR） requirement of each user. Before power control, it uses the maximum ratio transmission （MRT） scheme to determine the beamformers due to its attractive properties and the simplicity of handling. For power control it introduces a supermodular game approach and proposes an iterated strict dominance elimination algorithm. The algorithm is proved to converge to the Nash equilibrium. Simulation results indicate that this joint optimization method assures the improvement of performance.展开更多
基金supported by the National Natural Science Foundation of China(No.61372134)。
文摘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 multipleinput 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.
基金the National Natural Science Foundation of China （60602057） the Natural Science Foundation of Chongqing Science and Technology Commission （CSTC, 2006BB2360）.
文摘This study addresses the problem of jointly optimizing the transmit beamformers and power control in multi-user multiple-input multiple-output （MIMO） downlink. The objective is minimizing the total transmission power while satisfying the signal-to-noise plus interference ratio （SINR） requirement of each user. Before power control, it uses the maximum ratio transmission （MRT） scheme to determine the beamformers due to its attractive properties and the simplicity of handling. For power control it introduces a supermodular game approach and proposes an iterated strict dominance elimination algorithm. The algorithm is proved to converge to the Nash equilibrium. Simulation results indicate that this joint optimization method assures the improvement of performance.
