Research Of Cueing And Handoff Technology For Battlefield Surveillance Radar And IRST

With the limitations of single sensor integration technology and the improvement of target stealth technology,the limitations of single sensors have become more and more obvious.At the same time,in the battlefield reconnaissance,the radar will leak a lot of electromagnetic radiation when it works,which will inevitably become the enemy's primary target,thus exposing our position.Under the constraints of the above factors,multi-sensor indication handover technology has become an increasingly important reconnaissance method.Compared with a single sensor,multi-sensor cooperative reconnaissance can effectively expand the scope of reconnaissance and report target position more intuitively and accurately.In the multi-sensor indication handover,since different sensors adopt different coordinate systems,coordinate transformation is needed to connect different coordinate systems,and various coordinate transformations are involved according to the characteristics of the sensors themselves.Monte Carlo sampling theorem,also known as statistical simulation method,is a very important numerical calculation method guided by probability and statistics theory.Monte Carlo sampling theorem can effectively transform the information indicating the handover into a computer-friendly information.Multi-sensors indicate the efficiency of handover information processing.In this paper,the problem of the target indication handover of the three-coordinate optical sensor is studied for the two-coordinate warning radar.Since the two-coordinate radar lacks the measurement information of the target elevation angle,it is difficult to provide accurate indication information to the three-coordinate optical sensor,which cannot be performed in the handover The accurate coordinate transformation process causes the sensor to indicate that the sensor is inefficiently handed over.Therefore,this paper firstly uses the indication handover of three-coordinate early warning radar and tracking radar as an example to study the feasibility of the instruction handover algorithm between different sensors.Then,using the prior knowledge of the target information,the probability description model of the two-coordinate radar indication information is established.At the same time,the Monte Carlo sampling method is used to solve the transformation of the indication information from the two-dimensional coordinate system to the three-dimensional coordinate system.Then the paper focuses on the search algorithm for the optical sensor of the mechanical servo,and optimizes the optical sensor search space size and wave position programming sequence.Solve the problem that the mechanical servo sensor has unreasonable wave position and long time in the indication handover of the target.Finally,this paper will study the indication handover problem of optical sensor and active radar in multi-target situation,and analyze the handover search.The strategy and the factors influencing the handover performance are given,and the method for solving the multi-target indication handover problem is given.Simulation experiments verify the effectiveness of the proposed method.