Anti-swarm UAV radar system based on detection data fusion

作     者：WANG Pengfei HU Jinfeng HU Wen WANG Weiguang DONG Hao WANG Pengfei;HU Jinfeng;HU Wen;WANG Weiguang;DONG Hao

作者机构：School of Information and Communication EngineeringUniversity of Electronic Science and Technology of ChinaChengdu 611731China China Airborne Missile AcademyLuoyang 471009China Yangtze Delta Region Institute(Quzhou)University of Electronic Science and Technology of ChinaQuzhou 324003China College of Electronic and Information EngineeringNanjing University of Aeronautics and AstronauticsNanjing 211106China 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2024年第35卷第5期

页      面：1167-1176页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 082601[工学-武器系统与运用工程] 08[工学] 081105[工学-导航、制导与控制] 0826[工学-兵器科学与技术] 081001[工学-通信与信息系统] 081002[工学-信号与信息处理] 0825[工学-航空宇航科学与技术] 0811[工学-控制科学与工程] 

基　　金：supported by the Municipal Gavemment of Quzhou(2022D0009,2022D013,2022D033) the Science and Technology Project of Sichuan Province(2023YFG0176) 

主　　题：swarm radar high resolution deep neural network fusion algorithm 

摘      要：There is a growing body of research on the swarm unmanned aerial vehicle(UAV)in recent years,which has the characteristics of small,low speed,and low height as radar *** confront the swarm UAV,the design of anti-UAV radar system based on multiple input multiple output(MIMO)is put forward,which can elevate the performance of resolution,angle accuracy,high data rate,and tracking flexibility for swarm UAV *** resolution and detection are the core problem in detecting the swarm *** distinct advantage of MIMO system in angular accuracy measurement is demonstrated by comparing MIMO radar with phased array *** MIMO radar has better performance in resolution,swarm UAV detection still has difficulty in target *** paper proposes a multi-mode data fusion algorithm based on deep neural networks to improve the detection ***,signal processing and data processing based on the detection fusion algorithm above are designed,forming a high resolution detection *** simulations are designed to illustrate the feasibility of the designed system and the proposed algorithm.