發(fā)布時(shí)間：2018-08-18 09:33

【摘要】：由于現(xiàn)代戰(zhàn)場(chǎng)環(huán)境變得更加復(fù)雜,雷達(dá)信號(hào)分選與識(shí)別技術(shù)在雷達(dá)對(duì)抗系統(tǒng)中為關(guān)鍵的信號(hào)處理過(guò)程,是雷達(dá)對(duì)抗信息處理的重要組成部分,正面臨著嚴(yán)峻的挑戰(zhàn)。只有準(zhǔn)確識(shí)別分選出所有輻射源,才能做到精確打擊,保持戰(zhàn)場(chǎng)上的有利地位。憑借著不斷發(fā)展進(jìn)步的數(shù)字信號(hào)處理(Digital Signal Processor,DSP)和大規(guī)模集成電路開(kāi)發(fā)技術(shù),使利用信號(hào)脈內(nèi)特征參數(shù)來(lái)提高雷達(dá)信號(hào)分選性能成為可能,這也得益于雷達(dá)數(shù)字接收機(jī)技術(shù)的不斷發(fā)展,幾乎可以獲得全部的雷達(dá)輻射源信號(hào)的特征參數(shù)等信息。首先,介紹了雷達(dá)偵察系統(tǒng)的組成與功能,分析了脈沖描述字(Pulse Digital Word,PDW)的組成及其在信號(hào)分選中的作用,研究了不同雷達(dá)重頻信號(hào)類型所適用的不同應(yīng)用。對(duì)基于常規(guī)脈沖重復(fù)間隔(Pulse Recurrence Interval,PRI)的雷達(dá)分選技術(shù)研究,并對(duì)其進(jìn)行了仿真,分析了各方法所適用的環(huán)境和利弊。在說(shuō)明小波變換分析法、傅立葉插值變換法及支持向量與聚類算法基礎(chǔ)上,提出基于脈內(nèi)特征參數(shù)組成特征向量的分選方法,把雷達(dá)信號(hào)的脈內(nèi)特征參數(shù)用于聚類算法中實(shí)現(xiàn)信號(hào)的去交錯(cuò),并驗(yàn)證了算法的準(zhǔn)確率很高,抗抖動(dòng)效果很好。然后,結(jié)合工程的實(shí)際情況,分為硬件部分和軟件部分,描述信號(hào)分選處理平臺(tái)的具體實(shí)現(xiàn),搭建了基于TI公司8核Keystone框架的DSP TMS320C6678與Altera公司FPGA EP3SL200的信號(hào)處理硬件研究平臺(tái),詳細(xì)介紹了硬件平臺(tái)中各重要組成部分的功能及軟件設(shè)計(jì)實(shí)現(xiàn)。最后,對(duì)信號(hào)分選與綜合處理機(jī)的軟件設(shè)計(jì)原理進(jìn)行了分析,及分選算法具體實(shí)現(xiàn),工作流程等,并給出了提出算法在硬件實(shí)現(xiàn)時(shí)的功能模塊。
[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.
【學(xué)位授予單位】：哈爾濱工程大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN957.51

【引證文獻(xiàn)】

相關(guān)碩士學(xué)位論文 前1條

1 鮑松;被動(dòng)雷達(dá)導(dǎo)引頭建模與仿真研究[D];西安電子科技大學(xué);2017年

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本文編號(hào)：2189065