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基于DSP的海上红外小目标检测系统设计 被引量:1

Design of marine infrared small-target detection system based on DSP
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摘要 针对海天背景下红外小目标检测实时性低的问题,文中结合DSP硬件特征、算法需求和系统要求,提出一种以多核DSP为核心处理器的红外小目标检测系统实现方案。区别于常规的串行处理方式,该方案采用DSP双核流水处理的软件架构,将海天线检测算法和红外小目标检测算法分别运行在DSP的核1和核2,实现两套算法的并行处理;并通过核0主程序的调度实现海上红外小目标检测功能。在此基础上,采用查找表替代实时计算系数、优化计算过程最大化减少指令流水被打断、软硬件并行处理减少软件负载等方法对软件进行优化,提高软件效率。最后,在红外检测跟踪系统中对实时性和准确性进行应用验证。结果表明,所设计系统处理640×512的红外图像耗时小于25 ms,满足海上红外小目标实时检测的要求。 In allusion to the low real-time performance of infrared small-target detection under sea-sky background,an implementation scheme of infrared small-target detection system taking multi-core DSP as core processor is proposed by combining with the hardware characteristics of DSP, algorithm requirements and system requirements. Different from the conventional serial processing mode,in this scheme,the software architecture of DSP dual core pipelining processing is adopted,and the sea-sky line detection algorithm and infrared small target detection algorithm are run in core 1 and core 2 of DSP respectively to realize the parallel processing of two algorithms. The marine infrared small-target detection can be realized by scheduling the main program of core 0. On this basis,the software is optimized to improve software efficiency by means of the methods of using the lookup table to substitute real-time calculation of coefficient,optimizing the calculation process to minimize the interruption of instruction flow,and adopting parallel processing of software and hardware to reduce software load.The real-time and accuracy of the proposed scheme were verified in the infrared detection and tracking system. The results show that the designed system can process the infrared images of 640×512 in less than 25 ms,which can meet the requirements of real-time detection of small infrared targets at sea.
作者 李雷 张晔 胡楷 LI Lei;ZHANG Ye;HU Kai(China Key System&Integrated Circuit Co.,Ltd.,Wuxi 214035,China)
出处 《现代电子技术》 2023年第4期30-34,共5页 Modern Electronics Technique
关键词 小目标检测 多核DSP 双核流水处理 并行处理 红外图像 软件优化 实时检测 small target detection multi-core DSP dual-core flow processing parallel processing infrared image software optimization real-time detection
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