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基于动态规划的检测前跟踪算法的性能分析 被引量:2

Performance Analysis of A Track Before Detect Algorithm Based on Dynamic Programming
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摘要 复杂条件下的微弱目标探测是现代雷达亟待解决的问题。检测前跟踪(Track-Before-Detect,TBD)算法联合处理多帧回波数据,是一种广为人知的微弱目标探测技术。本文首次分析了雷达探测场景参数与TBD算法参数的对应关系,建立了TBD算法性能仿真模型,并利用蒙特卡洛方法仿真分析了不同场景下TBD算法的性能。本文工作对TBD算法工程化及性能优化具有一定的指导意义。 The detection and tracking of dim targets in complex scenes is an urgent problem for modern radar systems.Track-before-detect(TBD)is a widely known algorithm to solve the problem,which jointly processes some frames of echo.For the first time,we analyze the relationship between the parameters of a radar and the parameters of TBD algorithms,then the performance simulation model of TBD algorithms is built,finally the Monte Carlo simulation technology is used to analyze the performance of TBD algorithms of several scenes.This work is beneficial to the engineering application and the optimization of TBD algorithms.
作者 乐丹 刘兆磊 吴显燕 LE Dan;LIU Zhao-lei;WU Xian-yan(Nanjing Research Institute of Electronics Technology,Nanjing 210013,China;Nanjing Agricultural University,Nanjing 210095,China)
出处 《中国电子科学研究院学报》 北大核心 2019年第11期1148-1154,共7页 Journal of China Academy of Electronics and Information Technology
关键词 微弱目标探测 检测前跟踪技术 动态规划 仿真模型 Detection and Tracking of dim Targets Track-before-detect Dynamic Programming Simulation Model
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