本文選題：跳頻圖案 + 認(rèn)知無線電　； 參考：《電子科技大學(xué)》2015年碩士論文

【摘要】：跳頻圖案是跳頻通信系統(tǒng)性能好壞、抗干擾能力強(qiáng)弱的決定性因素,是跳頻頻率變化的規(guī)律。常規(guī)跳頻通信的過程中,跳頻圖案使得跳頻信號在很寬的帶寬范圍內(nèi)均勻連續(xù)地占用每個信道,沒有考慮周圍電磁環(huán)境的影響,是一種“盲跳頻”的方式,若是在跳頻帶寬范圍內(nèi)有干擾信號的存在,將會導(dǎo)致接收端的誤碼,嚴(yán)重影響跳頻通信的質(zhì)量。認(rèn)知無線電技術(shù)是一種智能化的管理和利用頻譜資源的技術(shù),為解決頻譜資源緊缺、解決干擾等提供了良好的思路。本文在深入理解認(rèn)知無線電技術(shù)的原理和分析跳頻信號的特點之后,將認(rèn)知無線電技術(shù)應(yīng)用于跳頻圖案的設(shè)計。頻譜感知技術(shù)是認(rèn)知無線電技術(shù)的核心,本文將其作為研究的首要環(huán)節(jié)。本文在綜合分析了頻域頻譜感知的方法后,研究了一種基于小波閾值去噪的多窗口譜估計感知方法。通過實驗分析比較,本文研究的方法具有最優(yōu)的分辨率和檢測性能。本文采用這種方法對通信環(huán)境(特指跳頻通信環(huán)境)進(jìn)行分析,區(qū)分出頻譜空洞與干擾信號存在的頻段。跳頻信號的信息獲取作為本文研究的第二環(huán)節(jié),用于對跳頻信號進(jìn)行深入的認(rèn)知分析。本文通過時頻分析以及多頻點的參數(shù)平滑算法獲取了跳頻圖案的存在性信息、相關(guān)參數(shù)信息以及跳頻信號的調(diào)制規(guī)律。通過實驗證明,這些算法有良好的性能。差分跳頻圖案設(shè)計方法的研究作為本文研究的第三環(huán)節(jié),本文深入分析比較了各種差分跳頻圖案的設(shè)計方法,明確了跳頻圖案設(shè)計的思路與性能檢測的方法。在完成了以上環(huán)節(jié)的研究后,本文研究了一種非連續(xù)頻段的跳頻圖案設(shè)計方法。本文詳細(xì)闡述了設(shè)計的原理,設(shè)計的結(jié)構(gòu)以及具體的工作流程,對設(shè)計出的跳頻圖案進(jìn)行了漢明相關(guān)性、隨機(jī)性、一維均勻性、二維連續(xù)性、抗干擾性的檢測。通過實驗分析,本文設(shè)計的跳頻圖案具有優(yōu)良的性能,證明了將認(rèn)知無線電技術(shù)應(yīng)用于跳頻圖案設(shè)計的可行性,為今后的工程設(shè)計提供了參考。
[Abstract]:Frequency hopping pattern is the decisive factor of the performance of frequency hopping communication system and the rule of frequency hopping frequency change. In the process of conventional frequency-hopping communication, the frequency hopping pattern causes the frequency hopping signal to occupy every channel uniformly and continuously in a wide bandwidth, without considering the influence of the surrounding electromagnetic environment, so it is a kind of "blind frequency hopping" method. If the interference signal exists in the frequency hopping bandwidth, it will lead to the error of the receiver and seriously affect the quality of the frequency hopping communication. Cognitive radio technology is a kind of intelligent management and utilization of spectrum resources technology, which provides a good way to solve the shortage of spectrum resources and interference. After deeply understanding the principle of cognitive radio technology and analyzing the characteristics of frequency hopping signal, this paper applies cognitive radio technology to the design of frequency hopping pattern. Spectrum sensing is the core of cognitive radio technology. After synthetically analyzing the spectrum sensing method in frequency domain, a multi-window spectrum estimation sensing method based on wavelet threshold de-noising is studied in this paper. Through experimental analysis and comparison, the method studied in this paper has the best resolution and detection performance. In this paper, this method is used to analyze the communication environment (especially frequency hopping communication environment) and to distinguish the frequency band between the frequency gap and the interference signal. As the second step of this paper, the information acquisition of frequency hopping signal is used for deep cognitive analysis of frequency hopping signal. In this paper, the existence information of frequency hopping pattern, the related parameter information and the modulation law of frequency hopping signal are obtained by time-frequency analysis and multi-frequency parameter smoothing algorithm. Experiments show that these algorithms have good performance. As the third step of this paper, the design method of differential frequency hopping pattern is studied, and the design method of different frequency hopping pattern is analyzed and compared, and the train of thought of frequency hopping pattern design and the method of performance testing are clarified. After the above research, a design method of frequency hopping pattern in discontinuous frequency band is studied in this paper. In this paper, the principle, structure and working flow of the design are described in detail. The frequency hopping pattern is detected by hamming correlation, randomness, one-dimensional uniformity, two-dimensional continuity and anti-interference. Through experimental analysis, the FH pattern designed in this paper has excellent performance, which proves the feasibility of applying cognitive radio technology to FH pattern design, and provides a reference for future engineering design.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TN914.41

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