【摘要】： 跳頻通信技術(shù)由于其良好的抗干擾、低截獲率等特性,在軍事通信領(lǐng)域得到了廣泛應(yīng)用。如今,國(guó)內(nèi)外許多軍用電臺(tái)采用了跳頻技術(shù),使得軍用短波和超短波跳頻電臺(tái)在通信中發(fā)揮了巨大的作用。跳頻電臺(tái)的出現(xiàn)對(duì)通信對(duì)抗提出了嚴(yán)峻挑戰(zhàn)。在通信對(duì)抗領(lǐng)域中,開展對(duì)跳頻通信對(duì)抗的研究,尋求截獲、識(shí)別跳頻信號(hào)的方法,是當(dāng)前急需解決的問題。 對(duì)通信信號(hào)參數(shù)的估計(jì)是無線電通信技術(shù)偵察的一個(gè)部分,目的是獲取敵方通信設(shè)施的技術(shù)參數(shù),如通信體制、工作頻率、調(diào)制方式等,為干擾設(shè)備參數(shù)的設(shè)定提供依據(jù)。參數(shù)估計(jì)算法按接收設(shè)備天線的類型可分為單天線接收和陣列天線接收。本文針對(duì)這兩個(gè)方面開展了以下研究: 對(duì)于單天線接收的跳頻信號(hào)參數(shù)估計(jì)算法,本文對(duì)公開文獻(xiàn)中的跳頻信號(hào)參數(shù)估計(jì)算法進(jìn)行了分析與總結(jié),對(duì)不需要信號(hào)先驗(yàn)知識(shí)的時(shí)頻分析算法進(jìn)行了深入研究。首先實(shí)現(xiàn)了基于時(shí)頻分析的高速跳頻信號(hào)和低速跳頻信號(hào)的參數(shù)估計(jì)算法,并分別針對(duì)算法存在對(duì)信號(hào)跳速有依賴和低信噪比下的估計(jì)性能低等問題,提出了基于跳速預(yù)估的算法框架和基于時(shí)頻矩陣去噪的參數(shù)估計(jì)方法,最后結(jié)合上述兩種思路提出了一種改進(jìn)算法,仿真結(jié)果表明此算法在信噪比大于等于-6dB時(shí)的參數(shù)估計(jì)性能得到了明顯改善。 針對(duì)陣列天線接收的跳頻信號(hào)參數(shù)估計(jì),本文進(jìn)行了算法分析,仿真和討論,完成了混合信號(hào)的分離。針對(duì)定頻信號(hào),進(jìn)行了載頻估計(jì)和調(diào)制方式識(shí)別;針對(duì)跳頻信號(hào),完成了兩個(gè)跳頻信號(hào)的分離及參數(shù)估計(jì)。實(shí)驗(yàn)結(jié)果表明,當(dāng)接收陣列為均勻圓陣時(shí),算法在信噪比大于等于-5dB時(shí)能夠?qū)蓚�(gè)跳頻信號(hào)(跳速相同或不同)正確分離;當(dāng)接收陣列為平面陣時(shí),算法在信噪比大于等于-3dB時(shí)能夠?qū)蓚�(gè)跳頻信號(hào)(跳速相同或不同)正確分離。最后對(duì)分離后的跳頻信號(hào)進(jìn)行參數(shù)估計(jì),通過誤差分析,得出估計(jì)性能與信噪比及信號(hào)跳速之間的關(guān)系,該算法更適合于低速跳頻信號(hào)。 最后,本文總結(jié)了所做的工作并提出了通信對(duì)抗領(lǐng)域中還需進(jìn)一步研究的問題和發(fā)展的方向。
[Abstract]:Frequency hopping communication technology has been widely used in military communication field because of its good anti-jamming and low interception rate. Nowadays, many military radio stations at home and abroad adopt frequency hopping technology, which makes military short-wave and ultrashort frequency-hopping stations play a great role in communication. The appearance of frequency hopping station poses a severe challenge to communication countermeasure. In the field of communication countermeasures, it is an urgent problem to study frequency hopping communication countermeasures and find ways to intercept and identify frequency-hopping signals. The estimation of communication signal parameters is a part of radio communication technology reconnaissance. The purpose is to obtain the technical parameters of enemy communication facilities, such as communication system, working frequency, modulation mode and so on, which provides the basis for setting the parameters of interference equipment. The parameter estimation algorithm can be divided into single antenna receiving and array antenna receiving according to the type of receiving equipment antenna. In this paper, the following researches are carried out: for the frequency hopping signal parameter estimation algorithm received by a single antenna, this paper analyzes and summarizes the frequency hopping signal parameter estimation algorithm in the open literature. The time-frequency analysis algorithm which does not require prior knowledge of signal is studied in this paper. First, the parameter estimation algorithms of high speed frequency hopping signal and low speed frequency hopping signal based on time frequency analysis are realized. An algorithm framework based on speed hopping prediction and a parameter estimation method based on time-frequency matrix denoising are proposed. Simulation results show that the performance of the proposed algorithm is improved significantly when the SNR is greater than-6dB. For the parameter estimation of frequency hopping signals received by array antennas, the algorithm analysis, simulation and discussion are carried out, and the mixed signals are separated. The carrier frequency estimation and modulation mode identification are carried out for the fixed frequency signal, and the separation and parameter estimation of the two frequency hopping signals are completed for the frequency hopping signal. The experimental results show that when the receiver array is uniform circular array, the algorithm can correctly separate two frequency-hopping signals (with the same or different hopping speed) when the SNR is greater than-5dB. When the receiving array is a planar array, the algorithm can separate two FH signals (same or different) correctly when the SNR is greater than-3dB. Finally, the parameters of the separated frequency hopping signal are estimated, and the relationship between the estimation performance and the signal-to-noise ratio and the speed of the signal hopping is obtained by error analysis. The algorithm is more suitable for the low-speed frequency hopping signal. Finally, this paper summarizes the work done and puts forward some problems and development directions in the field of communication countermeasures.
【學(xué)位授予單位】：大連理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2009
【分類號(hào)】：TN914.41

【引證文獻(xiàn)】

相關(guān)碩士學(xué)位論文 前4條

1 嚴(yán)超會(huì);非協(xié)作跳頻信號(hào)的跳周期估計(jì)[D];西安電子科技大學(xué);2011年

2 王麗;跳頻通信信號(hào)參數(shù)盲估計(jì)算法研究[D];西南交通大學(xué);2011年

3 唐婷婷;基于時(shí)頻分析的跳頻信號(hào)參數(shù)盲估計(jì)研究[D];西南交通大學(xué);2010年

4 陳松;跳頻信號(hào)參數(shù)估計(jì)與識(shí)別[D];電子科技大學(xué);2010年

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本文編號(hào)：2334647