基于双速率欠采样的雷达信号分选技术研究

发布时间：2018-04-05 09:14

本文选题：信号分选　切入点：欠采样　出处：《西安电子科技大学》2014年硕士论文

【摘要】：雷达信号分选技术在雷达侦察处理领域中一直是一个关键部分,在当今的复杂电磁信号环境下,保证雷达信号分选的实时性是非常重要的。对宽频带信号直接进行Nyquist采样,其产生的大数据量会严重影响系统后端数据处理的实时性,也会使系统硬件实现的复杂度激增,而采用欠采样技术就可以很大程度上解决上述问题。本文中研究的雷达信号带宽较大,因此采用欠采样技术,主要是在双速率欠采样的基础上对雷达信号分选技术进行了研究,本文的主要研究成果为:1.在第二章中就双速率欠采样频率估计算法和延迟欠采样频率估计算法进行了理论分析和计算机仿真,这两种算法都是可以得到高精度的信号无模糊频率估计值,并且信号估计频率方差较小,同时系统的硬件实现复杂度也不高。而本文采用的是双速率欠采样频率估计算法,特别是应用到了其中的频率解模糊算法。2.在第三章中对基于数字信道化的雷达信号分选技术进行了方法分析和计算机仿真,该方法即对得到的脉冲描述字(PDW)进行信号分选(包括数据融合和信号主分选)处理,以得到辐射源描述字(EDW)。由于雷达信号经过数字信道化后会使单频信号频谱扩展和使宽频信号频谱分布于不同信道上,因此信号分选中首先对PDW数据进行数据融合处理,之后再进行信号主分选以得到最终的EDW结果数据。3.在第四章中就基于双速率欠采样的雷达信号分选技术进行了DSP硬件实现,硬件芯片为TI公司的TMS320C6455芯片。该硬件功能是紧接系统前端数字信道化之后来实现完成的,最终通过两片DSP芯片完成了整个雷达信号分选功能的实现,并将EDW结果数据上报上位机。
[Abstract]:Radar signal sorting technology has always been a key part in the field of radar reconnaissance and processing. In today's complex electromagnetic signal environment, it is very important to ensure the real-time performance of radar signal sorting.The large amount of data generated by direct Nyquist sampling of wide-band signals will seriously affect the real-time performance of the back-end data processing of the system, and the complexity of the hardware implementation of the system will increase dramatically.The problem mentioned above can be solved to a great extent by using undersampling technique.The bandwidth of radar signal studied in this paper is large, so the under-sampling technique is adopted, which is mainly based on the dual-rate under-sampling. The main research result of this paper is: 1.In the second chapter, theoretical analysis and computer simulation are carried out on the double rate under-sampling frequency estimation algorithm and the delayed under-sampling frequency estimation algorithm. Both of these two algorithms can obtain the high-precision signal frequency estimation without ambiguity.The frequency variance of signal estimation is small, and the hardware implementation complexity of the system is not high.In this paper, the double rate under-sampling frequency estimation algorithm is used, especially the frequency deblurring algorithm. 2.In the third chapter, the method analysis and computer simulation of radar signal sorting based on digital channelization are carried out. The method is to process the obtained pulse description word PDW (including data fusion and signal master sorting).In order to obtain the radiation source description word EDWN.Because radar signal can spread the spectrum of single frequency signal and spread the spectrum of broadband signal on different channels after digital channelization, so the data fusion of PDW data is carried out in signal sorting.After that, the final EDW result data. 3. 3 is obtained by the main sorting of the signal.In the fourth chapter, the DSP hardware is implemented based on the dual-rate under-sampling radar signal sorting technology. The hardware chip is TI's TMS320C6455 chip.The hardware function is realized immediately after the digital channelization of the front end of the system. Finally, the whole radar signal sorting function is realized by two DSP chips, and the data of the EDW result is reported to the host computer.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN957.51

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