| Battlefield situational awareness is not only an important part of multi-domain joint operation under information condition,but also the basis of information operation,which is directly related to the victory or defeat of information war.Sensor management is the core of realizing efficient and continuous battlefield situational awareness.Sensor deployment and scheduling constitute the two most important parts of sensor management.Under the given combat mission and limited sensor resources,how to give full play to battlefield reconnaissance efficiency and improve target tracking ability through reasonable sensor deployment is the main content of this thesis.The main work and innovations of this thesis are as follows:(1)In order to solve the problem of low efficiency and low real-time performance of visibility algorithm in sensor detection under complex terrain,the improved Xdraw method was proposed,and a new b Xdraw method based on terrain masking point was proposed.To overcome in the past research mainly based on the simple flat environment or obstacles,difficult to applied in actual,through direct reference map real DEM data,this thesis constructed the real operational environment model,based on the model of Xdraw algorithm is improved,and by setting the shade and keep out the radius,the fans keep out area,The unnecessary interpolation operation of partially occluded points and critical points within the threshold value range is removed,and the computation amount is reduced.The experimental results show that the calculation time of b Xdraw method is reduced by 20.31% on average,and the actual calculation amount is reduced by 17.5% compared with that of Xdraw algorithm before improvement.(2)Aiming at the problems of huge topographic data and high consumption of computing power resources in the sensor deployment aiming at detection coverage,firstly,on the basis of analyzing topographic DEM information,an appropriate scale is selected to reduce the data amount of original DEM data through scale transformation.Secondly,in view of the large error caused by scale transformation,the b Xdraw algorithm is combined with the Sparrow Search Algorithm and the b Xdraw algorithm model is proposed for obtaining regional coverage.Finally,according to the requirements of the specific reconnaissance mission and the actual terrain,under the condition of combining b Xdraw-SSA algorithm with multi-scale,the sensor cooperative deployment model under the constraints of terrain and sensor performance was established,and the optimal deployment scheme was obtained by solving the model.The simulation results show that compared with Particle Swarm Optimization,Quantum Particle Swarm Optimization and Whale Algorithm,this method has faster convergence speed,more scientific and reasonable sensor deployment scheme,and the coverage of total viewable area of sensor increases by 11.5% on average.It provides theoretical and practical basis for the application of air defense in important areas and vigilance in main areas and airspace.(3)the position sensor has a direct effect on target tracking effect,in view of the actual application for target tracking in the positioning of the multi-sensor collaborative deployment issues,Geometrical Dilution Of Precision Cramero lower bound,on the basis of setting the core region reconnaissance as the key object,through the analysis of the comprehensive GDOP to measure the core region positioning accuracy,The main factors affecting the positioning accuracy are analyzed deeply.Through multi-group simulation experiments,the influence of the sensor deployment form,and deployment error on positioning accuracy in actual deployment is quantitatively analyzed,which can be applied to quickly determine the initial deployment position of the sensor,and then obtain the optimal deployment scheme of the sensor by applying the methods in the previous two chapters.(4)Combined with software design in scientific research projects,the method mentioned in this thesis is implemented and verified. |
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