本文選題：信號分選　切入點(diǎn)：欠采樣　出處：《西安電子科技大學(xué)》2014年碩士論文

【摘要】：雷達(dá)信號分選技術(shù)在雷達(dá)偵察處理領(lǐng)域中一直是一個關(guān)鍵部分,在當(dāng)今的復(fù)雜電磁信號環(huán)境下,保證雷達(dá)信號分選的實時性是非常重要的。對寬頻帶信號直接進(jìn)行Nyquist采樣,其產(chǎn)生的大數(shù)據(jù)量會嚴(yán)重影響系統(tǒng)后端數(shù)據(jù)處理的實時性,也會使系統(tǒng)硬件實現(xiàn)的復(fù)雜度激增,而采用欠采樣技術(shù)就可以很大程度上解決上述問題。本文中研究的雷達(dá)信號帶寬較大,因此采用欠采樣技術(shù),主要是在雙速率欠采樣的基礎(chǔ)上對雷達(dá)信號分選技術(shù)進(jìn)行了研究,本文的主要研究成果為:1.在第二章中就雙速率欠采樣頻率估計算法和延遲欠采樣頻率估計算法進(jìn)行了理論分析和計算機(jī)仿真,這兩種算法都是可以得到高精度的信號無模糊頻率估計值,并且信號估計頻率方差較小,同時系統(tǒng)的硬件實現(xiàn)復(fù)雜度也不高。而本文采用的是雙速率欠采樣頻率估計算法,特別是應(yīng)用到了其中的頻率解模糊算法。2.在第三章中對基于數(shù)字信道化的雷達(dá)信號分選技術(shù)進(jìn)行了方法分析和計算機(jī)仿真,該方法即對得到的脈沖描述字(PDW)進(jìn)行信號分選(包括數(shù)據(jù)融合和信號主分選)處理,以得到輻射源描述字(EDW)。由于雷達(dá)信號經(jīng)過數(shù)字信道化后會使單頻信號頻譜擴(kuò)展和使寬頻信號頻譜分布于不同信道上,因此信號分選中首先對PDW數(shù)據(jù)進(jìn)行數(shù)據(jù)融合處理,之后再進(jìn)行信號主分選以得到最終的EDW結(jié)果數(shù)據(jù)。3.在第四章中就基于雙速率欠采樣的雷達(dá)信號分選技術(shù)進(jìn)行了DSP硬件實現(xiàn),硬件芯片為TI公司的TMS320C6455芯片。該硬件功能是緊接系統(tǒng)前端數(shù)字信道化之后來實現(xiàn)完成的,最終通過兩片DSP芯片完成了整個雷達(dá)信號分選功能的實現(xiàn),并將EDW結(jié)果數(shù)據(jù)上報上位機(jī)。
[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.
【學(xué)位授予單位】：西安電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TN957.51

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