本文選題：數(shù)據(jù)鏈 + Link16　； 參考：《西安電子科技大學(xué)》2014年碩士論文

【摘要】：數(shù)據(jù)鏈?zhǔn)切畔?zhàn)的重要部分,而Link16數(shù)據(jù)鏈已經(jīng)成為各國(guó)研究的熱點(diǎn),并且得到了廣泛的應(yīng)用。目前,信號(hào)的截獲技術(shù)已經(jīng)比較成熟,但問(wèn)題在于如何識(shí)別已截獲信號(hào)的類(lèi)型,然后有針對(duì)性的做出干擾等對(duì)抗措施。基于此,本文對(duì)Link16數(shù)據(jù)鏈信號(hào)的識(shí)別算法進(jìn)行了研究。本文首先分析研究了Link16數(shù)據(jù)鏈信號(hào)的通信協(xié)議和信號(hào)特征,在此基礎(chǔ)上提取出可以用于識(shí)別Link16數(shù)據(jù)鏈信號(hào)的三個(gè)特征,其分別是:脈沖調(diào)制特征、MSK調(diào)制特征和跳頻調(diào)制特征,并針對(duì)這三個(gè)特征進(jìn)行了識(shí)別算法的研究和相應(yīng)的參數(shù)估計(jì)。1、對(duì)脈沖調(diào)制特征進(jìn)行識(shí)別算法研究。本文改進(jìn)了基于四階循環(huán)累積量進(jìn)行脈沖調(diào)制檢測(cè)的方法,并對(duì)Link16數(shù)據(jù)鏈信號(hào)的脈沖周期和占空比進(jìn)行了精確的估計(jì)。2、對(duì)MSK調(diào)制特征進(jìn)行識(shí)別算法研究。Link16數(shù)據(jù)鏈信號(hào)的特點(diǎn)是在MSK調(diào)制的基礎(chǔ)上進(jìn)行跳頻調(diào)制。本文通過(guò)分析研究Link16數(shù)據(jù)鏈信號(hào)跳頻MSK調(diào)制的特點(diǎn),提出了一種跳頻MSK調(diào)制信號(hào)的識(shí)別算法,并對(duì)Link16數(shù)據(jù)鏈信號(hào)的MSK調(diào)制特征進(jìn)行了參數(shù)估計(jì)。3、對(duì)跳頻調(diào)制特征進(jìn)行識(shí)別算法研究。本文提出了針對(duì)于Link16數(shù)據(jù)鏈信號(hào)跳頻特性的預(yù)處理算法和分段識(shí)別算法,并在此基礎(chǔ)上進(jìn)行了跳頻參數(shù)估計(jì)。其中基于Link16數(shù)據(jù)鏈信號(hào)的預(yù)處理算法降低了時(shí)頻分析算法分析Link16信號(hào)跳頻特性的復(fù)雜度,并且提高了跳頻參數(shù)估計(jì)的精度。
[Abstract]:Data link is an important part of information warfare, and Link16 data link has become a hot spot in many countries and has been widely used. At present, the technology of signal interception is mature, but the problem is how to identify the type of the intercepted signal, and then make countermeasures such as jamming. Based on this, the recognition algorithm of Link16 data link signal is studied in this paper. Firstly, the communication protocol and signal characteristics of Link16 data link signal are analyzed and studied in this paper. On this basis, three features that can be used to identify Link16 data link signal are extracted, which are: pulse modulation feature, MSK modulation feature and frequency hopping modulation feature. The recognition algorithm of the three features and the corresponding parameter estimation. 1. The recognition algorithm of the pulse modulation feature is studied. In this paper, the method of pulse modulation detection based on fourth-order cyclic cumulants is improved. The pulse period and duty cycle of Link16 data link signal are estimated exactly. 2. The recognition algorithm of MSK modulation feature is studied. The characteristic of. Link16 data link signal is frequency hopping modulation based on MSK modulation. By analyzing the characteristics of frequency hopping MSK modulation of Link16 data link signal, a recognition algorithm of frequency hopping MSK modulation signal is proposed in this paper. The MSK modulation feature of Link16 data link signal is estimated by parameter estimation. 3, and the algorithm of frequency hopping modulation feature recognition is studied. In this paper, a preprocessing algorithm and a piecewise recognition algorithm for the frequency hopping characteristics of Link16 data link signal are proposed, and the frequency hopping parameters are estimated on the basis of this algorithm. The preprocessing algorithm based on Link16 data link signal reduces the complexity of time-frequency analysis algorithm to analyze the frequency hopping characteristic of Link16 signal and improves the precision of frequency hopping parameter estimation.
【學(xué)位授予單位】：西安電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類(lèi)號(hào)】：TN919.2

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本文編號(hào)：2115320