智能高效航迹处理.doc
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智能高效航迹处理,摘要现代先进武器系统的发展和高技术战争条件下的复杂战场环境，对雷达目标识别具有越来越强烈的需求。在多目标跟踪系统中，由于对雷达资源的节约利用及信号处理和计算机技术的飞速发展，需要对雷达资源的节约利用, 由于信号处理和计算机技术的飞速发展，目标识别所要求的实时处理已成为了可能。一方面对目标进行初步的目标识别，建立以及更新...
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摘 要
现代先进武器系统的发展和高技术战争条件下的复杂战场环境，对雷达目标识别具有越来越强烈的需求。在多目标跟踪系统中，由于对雷达资源的节约利用及信号处理和计算机技术的飞速发展，需要对雷达资源的节约利用, 由于信号处理和计算机技术的飞速发展，目标识别所要求的实时处理已成为了可能。一方面对目标进行初步的目标识别，建立以及更新目标特征数据库，以进行目标特征匹配来实现点迹-航迹相关处理；一方面可以提高建航的快速性，另一方面可以在保证目标不丢失的情况下，提高跟踪的目标数目，大大降低虚警率的同时也保证了航迹质量。
本文首先从点迹处理入手，详细分析了目标点迹特征智能提取的方法，主要包括点迹检测、点迹凝聚（距离上和方位上）以及智能特征提取等。并对不同目标的特征信息进行分析，并进行目标分类，创建目标特征数据库。然后，根据前端的点迹数据特征信息来进行智能航迹处理，详细分析了智能航迹处理的算法实现。本文所提出的智能高效的航迹处理算法是针对目前航迹方面遇到的现实性的问题而提出的，经验证实是切实可行的解决方案。
本文对点迹的智能特征提取和智能航迹处理方法这一过程进行了硬件实现。首先，我们给出了硬件实现框架，对硬件实现的各个步骤给出了详细说明。并且重点介绍了SPU硬件处理平台，它是一种基于双DSP+FPGA架构的高性能的功能强大的板卡。同时，给出了基于TI公司的TMS320C6455DSP的点迹智能特征提取和智能航迹处理的软件实现流程图。最后，对某型雷达的实测数据处理，验证了本文所提出的方法的有效性，并且具有很高的工程实用价值。
关键词 航迹起始；目标识别；目标智能特征提取；双DSP+FPGA
Abstract
Modern and advanced weapons systems development and high-tech warfare complex under the conditions of the battlefield environment have an increasingly strong radar target identification Strong demand. Of the proposed intelligent and efficient processing algorithms for the current track track encountered the reality of the problem Proposed, is a proven practical solutions. In the multi-target tracking system, the need for economical use of radar resources as the signal processing and the rapid development of computer technology, target identification required real-time processing has become possible. On the one hand Target initial target identification, target characteristics to establish and update the database for matching to achieve the target feature points - Air phase Off processing; one can improve the rapid construction of aircraft, the other to ensure that goals are not lost in the circumstances, improve tracking The number of targets, greatly reduce the false alarm rate, while also ensuring the track quality. This article first track from the point of starting treatment, a detailed analysis of The target track features intelligent extraction methods, including point of trace detection, point trace gather (distance and azimuth), and smart Feature extraction, and different characteristics of the target information analysis, and target classification, target characteristics to create a database. However, According to the front of the trace point feature information for intelligent data handling track, a detailed analysis of intelligent algorithms that track the real deal now.
In recent years, with the digital signal processor (DSP) chip integration, computing speed, data throughput and other performance continues to improve; DSP in high-speed, real-time signal processing has been more and more applications, which is smart track the implementation process as possible. This paper describes a DSP + FPGA architecture based on dual-track process of intelligent hardware platforms, including DSP chip chosen TI's TMS320C6455, FPGA selected Altera's EP2S90F1020. In the code composer studio software development environment, through hardware design and software programming intelligent track processing algorithms. Hardware design, including the connection between the module and the module initialization method. Software design and programming, including the main program interrupt response and other routine design.
Key Words Track Initiation; Target Identification; Target Feature; Double DSP+FPGA
目 录
摘 要 I
Abstract III
缩略词语表 IX
第1章 绪论 1
1.1 概述 1
1.2 课题背景及意义 2
1.3 研究现状及发展趋势 4
1.4 研究内容介绍和文章结构安排 5
第2章 雷达目标点迹数据形成与处理 7
2.1 概述 7
2.2点迹检测 7
2.3 点迹数据分析及目标分裂 8
2.3.1目标点迹数据在距离上多值分析 9
2.3.2 目标点迹数据在方位上的多值性分析 10
2.3.3 克服目标分裂的方法 11
2.4 目标原始点迹数据的分辨与归并 12
2. 4.1 剔除异常的目标原始点迹 12
2. 4. 2 点迹数据在距离上的归并与分辨 12
2. 4. 3 点迹数据在方位上的归并与分辨 13
2.5 目标点迹凝聚处理 13
2.6 智能特征提取 15
2.7 雷达目标特征信息 16
2.8 小结 20
第3章 雷达数据的航迹处理 23
3.1 概述 23
3.2 常用的跟踪滤波器 23
3.2.1 滤波器 23
3.2.2 Kalman滤波器 26
3.3 目标跟踪的航迹起始 27
3.3.1 目标识别概述 28
3.3.2 修正的Hough变换 31
3.3.3 ..
现代先进武器系统的发展和高技术战争条件下的复杂战场环境，对雷达目标识别具有越来越强烈的需求。在多目标跟踪系统中，由于对雷达资源的节约利用及信号处理和计算机技术的飞速发展，需要对雷达资源的节约利用, 由于信号处理和计算机技术的飞速发展，目标识别所要求的实时处理已成为了可能。一方面对目标进行初步的目标识别，建立以及更新目标特征数据库，以进行目标特征匹配来实现点迹-航迹相关处理；一方面可以提高建航的快速性，另一方面可以在保证目标不丢失的情况下，提高跟踪的目标数目，大大降低虚警率的同时也保证了航迹质量。
本文首先从点迹处理入手，详细分析了目标点迹特征智能提取的方法，主要包括点迹检测、点迹凝聚（距离上和方位上）以及智能特征提取等。并对不同目标的特征信息进行分析，并进行目标分类，创建目标特征数据库。然后，根据前端的点迹数据特征信息来进行智能航迹处理，详细分析了智能航迹处理的算法实现。本文所提出的智能高效的航迹处理算法是针对目前航迹方面遇到的现实性的问题而提出的，经验证实是切实可行的解决方案。
本文对点迹的智能特征提取和智能航迹处理方法这一过程进行了硬件实现。首先，我们给出了硬件实现框架，对硬件实现的各个步骤给出了详细说明。并且重点介绍了SPU硬件处理平台，它是一种基于双DSP+FPGA架构的高性能的功能强大的板卡。同时，给出了基于TI公司的TMS320C6455DSP的点迹智能特征提取和智能航迹处理的软件实现流程图。最后，对某型雷达的实测数据处理，验证了本文所提出的方法的有效性，并且具有很高的工程实用价值。
关键词 航迹起始；目标识别；目标智能特征提取；双DSP+FPGA
Abstract
Modern and advanced weapons systems development and high-tech warfare complex under the conditions of the battlefield environment have an increasingly strong radar target identification Strong demand. Of the proposed intelligent and efficient processing algorithms for the current track track encountered the reality of the problem Proposed, is a proven practical solutions. In the multi-target tracking system, the need for economical use of radar resources as the signal processing and the rapid development of computer technology, target identification required real-time processing has become possible. On the one hand Target initial target identification, target characteristics to establish and update the database for matching to achieve the target feature points - Air phase Off processing; one can improve the rapid construction of aircraft, the other to ensure that goals are not lost in the circumstances, improve tracking The number of targets, greatly reduce the false alarm rate, while also ensuring the track quality. This article first track from the point of starting treatment, a detailed analysis of The target track features intelligent extraction methods, including point of trace detection, point trace gather (distance and azimuth), and smart Feature extraction, and different characteristics of the target information analysis, and target classification, target characteristics to create a database. However, According to the front of the trace point feature information for intelligent data handling track, a detailed analysis of intelligent algorithms that track the real deal now.
In recent years, with the digital signal processor (DSP) chip integration, computing speed, data throughput and other performance continues to improve; DSP in high-speed, real-time signal processing has been more and more applications, which is smart track the implementation process as possible. This paper describes a DSP + FPGA architecture based on dual-track process of intelligent hardware platforms, including DSP chip chosen TI's TMS320C6455, FPGA selected Altera's EP2S90F1020. In the code composer studio software development environment, through hardware design and software programming intelligent track processing algorithms. Hardware design, including the connection between the module and the module initialization method. Software design and programming, including the main program interrupt response and other routine design.
Key Words Track Initiation; Target Identification; Target Feature; Double DSP+FPGA
目 录
摘 要 I
Abstract III
缩略词语表 IX
第1章 绪论 1
1.1 概述 1
1.2 课题背景及意义 2
1.3 研究现状及发展趋势 4
1.4 研究内容介绍和文章结构安排 5
第2章 雷达目标点迹数据形成与处理 7
2.1 概述 7
2.2点迹检测 7
2.3 点迹数据分析及目标分裂 8
2.3.1目标点迹数据在距离上多值分析 9
2.3.2 目标点迹数据在方位上的多值性分析 10
2.3.3 克服目标分裂的方法 11
2.4 目标原始点迹数据的分辨与归并 12
2. 4.1 剔除异常的目标原始点迹 12
2. 4. 2 点迹数据在距离上的归并与分辨 12
2. 4. 3 点迹数据在方位上的归并与分辨 13
2.5 目标点迹凝聚处理 13
2.6 智能特征提取 15
2.7 雷达目标特征信息 16
2.8 小结 20
第3章 雷达数据的航迹处理 23
3.1 概述 23
3.2 常用的跟踪滤波器 23
3.2.1 滤波器 23
3.2.2 Kalman滤波器 26
3.3 目标跟踪的航迹起始 27
3.3.1 目标识别概述 28
3.3.2 修正的Hough变换 31
3.3.3 ..
