【摘要】：通信信號(hào)調(diào)制方式是通信信號(hào)接收處理和承載信息提取的重要依據(jù)。在認(rèn)知無(wú)線電、車(chē)載通信、空間電磁頻譜監(jiān)測(cè)、軍用通信和電子對(duì)抗等應(yīng)用領(lǐng)域中,都需要對(duì)未知信號(hào)進(jìn)行感知和識(shí)別。接收機(jī)對(duì)接收到的一個(gè)或多個(gè)未知信號(hào)的處理除了信號(hào)檢測(cè)、多域分析和參數(shù)估計(jì)等基本內(nèi)容外,還必須通過(guò)調(diào)制識(shí)別判斷信號(hào)調(diào)制類(lèi)型,在此基礎(chǔ)上加載對(duì)應(yīng)的解調(diào)處理算法完成信號(hào)解調(diào)和傳輸信息的提取,進(jìn)而實(shí)現(xiàn)其他任務(wù)。因此,調(diào)制識(shí)別是未知信息感知和獲取中不可或缺的核心技術(shù)。本論文結(jié)合全新的圖域數(shù)字信號(hào)處理(Digital Signal Processing on Graphs,DSP_G)理論,對(duì)寬帶通信信號(hào)調(diào)制識(shí)別理論和方法進(jìn)行研究。主要研究?jī)?nèi)容為基于循環(huán)平穩(wěn)理論和DSP_G的通信信號(hào)調(diào)制方式識(shí)別理論和方法:1.根據(jù)通信信號(hào)循環(huán)譜的特性,研究并設(shè)計(jì)通信信號(hào)的圖域映射與轉(zhuǎn)換方法,圖域映射的依據(jù)是循環(huán)譜矩陣的每個(gè)循環(huán)頻率;2.根據(jù)圖域映射與轉(zhuǎn)換方法提取出的圖,研究并設(shè)計(jì)相應(yīng)的圖域特征提取方法和圖域分類(lèi)器。首先提取訓(xùn)練信號(hào)和測(cè)試信號(hào)圖集的鄰接矩陣的特性,然后采用計(jì)算漢明距離實(shí)現(xiàn)圖域分類(lèi)器的設(shè)計(jì);3.由于從理論上依據(jù)循環(huán)譜不能實(shí)現(xiàn)MPSK/MQAM信號(hào)的區(qū)分,因而,研究并設(shè)計(jì)了基于四階循環(huán)累積量和DSP_G的MPSK/MQAM信號(hào)的識(shí)別方案,其中進(jìn)行圖域映射時(shí)需要將四階循環(huán)累積量降維到二維矩陣,MQAM信號(hào)的類(lèi)內(nèi)識(shí)別是采用四階累積量實(shí)現(xiàn)的。最后,本文對(duì)提出的基于循環(huán)譜和DSP_G的通信信號(hào)調(diào)制識(shí)別算法進(jìn)行了仿真,同時(shí)和已存在的算法進(jìn)行了對(duì)比,并詳細(xì)分析了頻偏和定時(shí)誤差對(duì)提出算法性能的影響,詳細(xì)推導(dǎo)分析了本文算法和已存在算法的計(jì)算復(fù)雜度。仿真表明提出的算法識(shí)別性能大大提升,雖然識(shí)別性能受頻偏和定時(shí)誤差的影響較大,但該算法的時(shí)間復(fù)雜度較低。在此基礎(chǔ)上,對(duì)基于四階循環(huán)累積量和DSP_G的MPSK/MQAM信號(hào)識(shí)別算法性能進(jìn)行了仿真,仿真表明在MPSK/MQAM信號(hào)的識(shí)別中8PSK信號(hào)識(shí)別性能非常好。
[Abstract]:The modulation mode of communication signal is an important basis for receiving and processing communication signal and extracting carrying information. In the fields of cognitive radio, vehicular communication, space electromagnetic spectrum monitoring, military communication and electronic countermeasures, it is necessary to perceive and recognize unknown signals. In addition to signal detection, multi-domain analysis and parameter estimation, the receiver must judge the modulation type of the signal by modulation recognition, in addition to signal detection, multi-domain analysis and parameter estimation. On this basis, the corresponding demodulation processing algorithm is loaded to complete the signal demodulation and transmission information extraction, and then to achieve other tasks. Therefore, modulation recognition is an indispensable core technology in unknown information perception and acquisition. In this paper, the theory and method of modulation recognition for wideband communication signal are studied based on the new theory of digital signal processing (Digital Signal Processing on Graphs,DSP_G) in graphic domain. The main content of this paper is the theory and method of modulation recognition based on cyclic stationary theory and DSP_G: 1. According to the characteristics of cyclic spectrum of communication signal, the mapping and conversion method of communication signal is studied and designed. The mapping of graph domain is based on every cyclic frequency of cyclic spectrum matrix. 2. According to the graph extracted from map domain mapping and transformation method, the corresponding feature extraction method and image domain classifier are studied and designed. Firstly, the characteristics of the adjacency matrix of the training signal and the test signal graph set are extracted, and then the map domain classifier is designed by calculating the hamming distance. 3. Because the MPSK/MQAM signal can not be distinguished theoretically based on cyclic spectrum, the recognition scheme of MPSK/MQAM signal based on fourth-order cyclic cumulant and DSP_G is studied and designed. The fourth order cyclic cumulant is reduced to the two-dimensional matrix when mapping the graph domain, and the intra-class recognition of MQAM signal is realized by the fourth-order cumulant. Finally, the proposed modulation recognition algorithm based on cyclic spectrum and DSP_G is simulated and compared with the existing algorithms, and the effects of frequency offset and timing error on the performance of the proposed algorithm are analyzed in detail. The computational complexity of this algorithm and the existing algorithm is analyzed in detail. Simulation results show that the performance of the proposed algorithm is greatly improved. Although the recognition performance is greatly affected by frequency offset and timing error, the time complexity of the proposed algorithm is low. On this basis, the performance of MPSK/MQAM signal recognition algorithm based on fourth-order cyclic cumulant and DSP_G is simulated. The simulation results show that the recognition performance of 8PSK signal is very good in MPSK/MQAM signal recognition.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：TN911

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