A Study on the Application of MTD Parameter Generation Based on Genetic Annealing Algorithm

Moving target detection(MTD) is one of the important techniques for radar deep measurement, and MTD repetition frequency parameters are crucial for the detection performance. The application scenarios of different repetition frequencies are analyzed in this article, and the genetic annealing algorithm is deeply studied by elaborating its pros and cons. The process of designing MTD repetition frequency parameters by binary genetic annealing algorithm is also discussed. According to the objective function and constraints constructed based on the distance-velocity clarity and the detection speed requirements, multiple frequency parameters are set up quickly, distance velocity clarity is optimized, and parameters that meet the system design requirements in real time are generated by this method. Its effectiveness is demonstrated by the generated clarity, and an effective engineering application approach with certain engineering application value in radar design is provided.