雷达辐射源信号分选算法及硬件实现研究
发布时间：2018-08-18 09:33
【摘要】：由于现代战场环境变得更加复杂,雷达信号分选与识别技术在雷达对抗系统中为关键的信号处理过程,是雷达对抗信息处理的重要组成部分,正面临着严峻的挑战。只有准确识别分选出所有辐射源,才能做到精确打击,保持战场上的有利地位。凭借着不断发展进步的数字信号处理(Digital Signal Processor,DSP)和大规模集成电路开发技术,使利用信号脉内特征参数来提高雷达信号分选性能成为可能,这也得益于雷达数字接收机技术的不断发展,几乎可以获得全部的雷达辐射源信号的特征参数等信息。首先,介绍了雷达侦察系统的组成与功能,分析了脉冲描述字(Pulse Digital Word,PDW)的组成及其在信号分选中的作用,研究了不同雷达重频信号类型所适用的不同应用。对基于常规脉冲重复间隔(Pulse Recurrence Interval,PRI)的雷达分选技术研究,并对其进行了仿真,分析了各方法所适用的环境和利弊。在说明小波变换分析法、傅立叶插值变换法及支持向量与聚类算法基础上,提出基于脉内特征参数组成特征向量的分选方法,把雷达信号的脉内特征参数用于聚类算法中实现信号的去交错,并验证了算法的准确率很高,抗抖动效果很好。然后,结合工程的实际情况,分为硬件部分和软件部分,描述信号分选处理平台的具体实现,搭建了基于TI公司8核Keystone框架的DSP TMS320C6678与Altera公司FPGA EP3SL200的信号处理硬件研究平台,详细介绍了硬件平台中各重要组成部分的功能及软件设计实现。最后,对信号分选与综合处理机的软件设计原理进行了分析,及分选算法具体实现,工作流程等,并给出了提出算法在硬件实现时的功能模块。
[Abstract]:As the modern battlefield environment becomes more complex, radar signal sorting and recognition technology is the key signal processing process in radar countermeasure system, which is an important part of radar countermeasure information processing, and is facing a severe challenge. Only by accurately identifying and sorting out all the radiation sources can the accurate strike be achieved and the battlefield position be maintained. With the development of digital signal processing (Digital Signal) and large-scale integrated circuit (LSI) technology, it is possible to improve the performance of radar signal sorting by using the characteristic parameters in the signal pulse. This is also due to the continuous development of radar digital receiver technology, almost all the radar emitter signal characteristic parameters and other information can be obtained. Firstly, the composition and function of radar reconnaissance system are introduced, the composition of pulse description word (Pulse Digital word PDW and its function in signal sorting are analyzed, and the different applications of different radar repetition signal types are studied. The radar sorting technology based on conventional pulse repeat interval (Pulse Recurrence Intervali) is studied and simulated. The suitable environment and advantages and disadvantages of each method are analyzed. Based on the description of wavelet transform method, Fourier interpolation transform method and support vector and clustering algorithm, a classification method based on in-pulse feature parameters is proposed. The intra pulse characteristic parameters of radar signal are used to realize the de-interleaving of the signal in the clustering algorithm, and it is verified that the accuracy of the algorithm is very high, and the anti-jitter effect is very good. Then, according to the actual situation of the project, it is divided into hardware part and software part. It describes the realization of signal sorting and processing platform, and builds the hardware research platform of signal processing based on TI's 8-core Keystone framework DSP TMS320C6678 and Altera company FPGA EP3SL200's signal processing hardware. The function and software design of the important components of the hardware platform are introduced in detail. Finally, the software design principle of signal sorting and integrated processor is analyzed, and the specific realization and workflow of the sorting algorithm are given. The functional modules of the proposed algorithm are given when the algorithm is implemented in hardware.
【学位授予单位】：哈尔滨工程大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN957.51
本文编号：2189065
[Abstract]:As the modern battlefield environment becomes more complex, radar signal sorting and recognition technology is the key signal processing process in radar countermeasure system, which is an important part of radar countermeasure information processing, and is facing a severe challenge. Only by accurately identifying and sorting out all the radiation sources can the accurate strike be achieved and the battlefield position be maintained. With the development of digital signal processing (Digital Signal) and large-scale integrated circuit (LSI) technology, it is possible to improve the performance of radar signal sorting by using the characteristic parameters in the signal pulse. This is also due to the continuous development of radar digital receiver technology, almost all the radar emitter signal characteristic parameters and other information can be obtained. Firstly, the composition and function of radar reconnaissance system are introduced, the composition of pulse description word (Pulse Digital word PDW and its function in signal sorting are analyzed, and the different applications of different radar repetition signal types are studied. The radar sorting technology based on conventional pulse repeat interval (Pulse Recurrence Intervali) is studied and simulated. The suitable environment and advantages and disadvantages of each method are analyzed. Based on the description of wavelet transform method, Fourier interpolation transform method and support vector and clustering algorithm, a classification method based on in-pulse feature parameters is proposed. The intra pulse characteristic parameters of radar signal are used to realize the de-interleaving of the signal in the clustering algorithm, and it is verified that the accuracy of the algorithm is very high, and the anti-jitter effect is very good. Then, according to the actual situation of the project, it is divided into hardware part and software part. It describes the realization of signal sorting and processing platform, and builds the hardware research platform of signal processing based on TI's 8-core Keystone framework DSP TMS320C6678 and Altera company FPGA EP3SL200's signal processing hardware. The function and software design of the important components of the hardware platform are introduced in detail. Finally, the software design principle of signal sorting and integrated processor is analyzed, and the specific realization and workflow of the sorting algorithm are given. The functional modules of the proposed algorithm are given when the algorithm is implemented in hardware.
【学位授予单位】：哈尔滨工程大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN957.51
【引证文献】
相关硕士学位论文 前1条
1 鲍松;被动雷达导引头建模与仿真研究[D];西安电子科技大学;2017年
，本文编号：2189065
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