| A major task of electronic reconnaissance in electronic countermeasures lies in estimating the parameters of the intercepted enemy radiation source information and judging its threat level,then feeding the reconnaissance results back to the electronic countermeasures equipment and guiding the electronic countermeasures equipment to carry out interference on the enemy radiation source.The traditional single platform reconnaissance combat equipment is no longer able to meet the operational requirements in the complex electromagnetic environment of the battlefield as the concept of intelligent distributed operations is proposed and flourishes.The single platform is inefficient and limited by the data chain transmission,and cannot optimize the parameters of the equipment for the battlefield situation in time.As a result,the combination of intelligent distributed combat and reconnaissance systems to achieve intelligent optimization of reconnaissance systems is of great practical significance and operational demand.Key works done in this paper are as follows:1.The main processes of the electronic reconnaissance system are simulated.A reconnaissance system with asymmetric L-array antenna for two-dimensional interferometer direction finding is presented,with a brief description of the signal processing process,followed by an introduction to principles of the main signal parameter measurement technique of the reconnaissance system.This paper points out the superiority and problems of the integration of intelligent distributed combat and electronic reconnaissance systems for UAV swarms.2.Complexity of the battlefield environment spectrum is an inevitable trend.This paper introduces the impact of the complex environment on the reconnaissance system.The search mode of the reconnaissance system and the dynamic channelization technique during channelized frequency measurement are proposed for the problem of receiving mixed signals caused by the wide reconnaissance band in the complex battlefield environment,which cannot get the target signal effectively.3.An intelligent optimization algorithm is introduced based on the design and implementation of the reconnaissance system.Innovations in this paper lie in the combination of intelligent optimization algorithms and the positioning of stations in the reconnaissance system for UAV swarms,then,the use of algorithms that enable the UAV reconnaissance system to optimize the target allocation weight ratios and the stationing pattern of the UAVs according to the location and number of targets.It carries out optimization of the station placement for passive positioning of UAV swarms according to the area of the target,using the GDOP value as the evaluation criterion.In the case of multiple targets,the optimization of the target positioning weight ratio will be carried out first,followed by the optimization of the swarm station placement for multiple target positioning.Experimental simulation results show that the use of the intelligent optimization algorithm effectively improves the positioning accuracy of the UAV swarm by 70% to 90%compared to the initial deployment accuracy.4.The simulation and evaluation of the signal parameter extraction process and dynamic channelization techniques of the enemy radiation source signal generation and reconnaissance system are carried out,with a result showing that the reconnaissance processing process is accurate and effective,and the dynamic channelization techniques can solve the problem of large frequency measurement errors caused by cross-channel,which meets the evaluation requirements.Then,the search mode is validated and simulated,which shows that the search mode is feasible for the screening of reconnaissance signals and the optimization of receiver parameters in complex operational environments. |
