Design And Implementation Of Digital Simulation Platform For Airborne SAR Performance Diagnosis

Airborne synthetic aperture radar(Synthetic Aperture Radar,SAR)is often used to perform important military and civilian reconnaissance missions due to its all-weather,high resolution,small size,and high concealment.Continuously,in order to improve the performance of airborne SAR equipment,the corresponding R&D departments have put forward requirements for digital simulation platforms for airborne SAR diagnosis and testing.Due to the high complexity of the environmental echo simulation and digital SAR imaging simulation algorithms,the digital simulation platform places high requirements on hardware resources.In order to complete multi-user concurrent tasks with limited hardware resources,make efficient use of hardware resources,this article designs,and implements a digital simulation platform for airborne SAR diagnosis and testing.The main work of this article is as follows:Aiming at the problem that the existing airborne SAR diagnosis and testing digital simulation platform is mainly for single users and the concurrency is weak,this article designs and implements a set of airborne SAR diagnosis and testing digital simulation platform that can be used simultaneously by multiple users.Multiple users use the microservice-based software architecture to realize the remote simulation service function of simultaneous echo simulation,digital SAR imaging,and performance evaluation.Combined with the characteristics of task requests and business requests in this topic,this platform implements load balancing of distributed clusters based on satiety and heuristic strategies,which can more evenly distribute user requests to service nodes and improve the utilization rate of the overall hardware resources of the platform.Aiming at the problem of low efficiency of task execution in digital simulation platforms when concurrently running intensive task scenarios with limited hardware resources,this article proposes a task planning optimization algorithm.In this study,the improved simulated annealing algorithm is used to split the task sequence into multiple segments,and the average resource occupancy rate is used as the iterative optimization evaluation index,which reduces the time consumption of the evaluation function and makes up for the shortcomings of the traditional simulated annealing algorithm in running speed.Simulation experiment results show that the task planning optimization algorithm adopted in this article has better performance and less time-consuming than traditional simulated annealing and other algorithms.On the designated hardware resource platform,functional and performance tests for the airborne SAR diagnosis and testing digital simulation platform were carried out.The test results show that: on the three algorithm server hardware resource platforms connected by the gateway server,the digital simulation platform has the functions of user management,parameter setting,echo simulation of complex environment,digital SAR imaging,performance evaluation and visualization;this article proposes.The task planning optimization algorithm has reduced the time-consuming index of the simulation task by 5.7%.In a large simulation area and intensive simulation task scenarios,(the number of concurrent users is 20),this digital simulation platform can meet the performance requirements related to airborne SAR diagnosis and testing.