Collaborative resource allocation method for multiple jammers in formation penetration
The essence of jamming countermeasure is competition in the resource dimension.The single node with limited jamming resources is no longer able to meet practical needs.Multi node collaborative jamming can introduce higher dimensional jamming resources,which has become an important form of combat in the future.However,in traditional collaborative jamming scenarios.the use of preset transmission modes by each node can lead to redundant configuration of jamming resources,resulting in poor jamming effects in the context of formation penetration.In response to the above issues,a performance-driven method for collaborative resource allocation of multiple jammers is proposed.Its core is to allocate the transmission resources of multiple jammers in real time,so as to reduce the tracking accuracy of enemy radars on our penetration targets under the same resource consumption.First,this article derives the Bayesian Cramér-Rao Lower Bound for tracking penetration targets in jamming scenarios and evaluates the performance of multi jammer collaborative jamming;Then,based on the resource constraints of our jammers,a multi jammer collaborative resource optimization model including dwell time variables is established,which proves to be a convex optimization problem.The Augmented Lagrangian Multiplier Method is used for fast optimization and solution.Simulation results show that compared to other benchmark methods,the proposed jamming resource allocation method can effectively suppress enemy networked radars,reduce their tracking accuracy towards our penetration targets,and still have a good jamming effect and a fast solving ability under the constraint of a limited number of beams.
万方数据
维普
