本文關(guān)鍵詞： MPSK 調(diào)制識(shí)別 參數(shù)估計(jì) 盲估計(jì)　出處：《北京郵電大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：一直以來,通信信號(hào)調(diào)制方式的識(shí)別和參數(shù)估計(jì)都是通信領(lǐng)域的研究熱點(diǎn)。信號(hào)的識(shí)別與估計(jì)在軍用、民用領(lǐng)域具有重要意義,比如在電子對抗、情報(bào)偵察、無線電資源管理、防災(zāi)減災(zāi)和地質(zhì)勘探等方面都有廣泛應(yīng)用。數(shù)字信號(hào)具有抗干擾、易于加密、安全性高等優(yōu)點(diǎn),如今已經(jīng)廣泛應(yīng)用,發(fā)展出了許多種數(shù)字調(diào)制方式,因此對數(shù)字調(diào)制信號(hào)的估計(jì)更有意義。相位調(diào)制信號(hào)(MPSK)作為一種重要的數(shù)字調(diào)制信號(hào),應(yīng)用也十分廣泛,本文就幾種常用的相位調(diào)制信號(hào)展開研究,針對這類信號(hào)的參數(shù)盲估計(jì)和盲識(shí)別進(jìn)行了較為深入的探討。 本文開篇交代了信號(hào)參數(shù)估計(jì)和調(diào)制識(shí)別的研究背景和意義,簡要梳理了針對該課題研究的發(fā)展過程,介紹了相關(guān)的理論知識(shí)和算法。 論文隨后闡述了MPSK信號(hào)的調(diào)制產(chǎn)生過程,具體分析了BPSK.QPSK、 OQPSK、UQPSK和8PSK信號(hào)的基本特征,并借助星座圖對這幾種信號(hào)做了對比討論。 第三章詳細(xì)討論了MPSK信號(hào)的參數(shù)估計(jì),包括帶寬、載頻、符號(hào)速率和信噪比。對于帶寬估計(jì),采用基于Welch變換的功率譜估計(jì)法,估計(jì)誤差可達(dá)1%以下,高信噪比情況下誤差能夠達(dá)到3%。左右。對于載頻估計(jì),采用M次方譜估計(jì)法,當(dāng)信噪比大于7.5dB時(shí),估計(jì)誤差可達(dá)10-5以下,最小誤差可達(dá)3×10-6。符號(hào)速率估計(jì)采用延遲相乘法,在較大信噪比范圍內(nèi)能夠得到準(zhǔn)確估計(jì)值,且對噪聲不敏感。對于信噪比的估計(jì),分析了功率譜估計(jì)法、二階矩四階矩估計(jì)法,對二者的局限性做了說明。針對自相關(guān)矩陣奇異值分解估計(jì)法進(jìn)行了詳細(xì)闡述,指出了該算法的適用條件,并對不符合條件的帶通濾波信號(hào)提出了一種改造方案。該方案能夠有效估計(jì)接收端經(jīng)過帶通濾波之后的信號(hào)信噪比,信噪比低于20dB時(shí)估計(jì)誤差在1dB以內(nèi),當(dāng)信噪比高于20dB,低于30dB時(shí)誤差在2dB以內(nèi)。 論文最后研究了MPSK信號(hào)調(diào)制方式的識(shí)別方法。針對相位調(diào)制信號(hào)的特點(diǎn),介紹了譜線特征法、星座圖法、相位直方圖法等算法的特點(diǎn)和局限性。闡述了高階統(tǒng)計(jì)量的基礎(chǔ)知識(shí),由于高斯白噪聲的高階累積量均為零,所以高階累積量算法理論上能夠消除白噪聲對信號(hào)識(shí)別的影響。以此為基礎(chǔ)構(gòu)造了用于MPSK信號(hào)識(shí)別的特征參數(shù),設(shè)計(jì)了信號(hào)識(shí)別流程,分別針對BPSK與UQPSK、QPSK與8PSK、QPSK與OQPSK三組信號(hào)做了對比仿真,仿真結(jié)果表明能夠達(dá)到較好的識(shí)別效果：取符號(hào)長度為1024,當(dāng)信噪比大于15dB時(shí),BPSK和UQPSK信號(hào)的識(shí)別準(zhǔn)確率可達(dá)95%以上；當(dāng)信噪比大于10dB時(shí),QPSK和8PSK信號(hào)的識(shí)別準(zhǔn)確率可達(dá)95%以上；當(dāng)信噪比大于5dB時(shí),QPSK和OQPSK信號(hào)的識(shí)別準(zhǔn)確率可達(dá)90%以上,當(dāng)信噪比高于15dB時(shí),識(shí)別準(zhǔn)確率可達(dá)100%。
[Abstract]:All along, the identification and parameter estimation of the modulation mode of the communication signal are the research hotspot in the field of communication. The identification and estimation of the signal is of great significance in the military and civil fields, such as electronic countermeasures, intelligence reconnaissance, radio resource management, etc. The digital signal has many advantages such as anti-jamming, easy encryption, high security and so on. Now it has been widely used and many kinds of digital modulation methods have been developed. Therefore, the estimation of digital modulation signal is more meaningful. As an important kind of digital modulation signal, the phase modulation signal MPSKK is also widely used. In this paper, several commonly used phase modulated signals are studied. The blind parameter estimation and blind recognition of this kind of signal are discussed in detail. At the beginning of this paper, the research background and significance of signal parameter estimation and modulation recognition are explained, the development process of the research on this subject is briefly reviewed, and relevant theoretical knowledge and algorithms are introduced. After that, the modulation process of MPSK signal is described, and the basic characteristics of BPSK.QPSK, OQPSK UQPSK and 8PSK signal are analyzed in detail, and these signals are compared and discussed with the help of constellation diagram. In chapter 3, the parameter estimation of MPSK signal is discussed in detail, including bandwidth, carrier frequency, symbol rate and signal-to-noise ratio. For bandwidth estimation, the power spectrum estimation method based on Welch transform is used, and the estimation error can be less than 1%. In the case of high signal-to-noise ratio, the error can reach about 3. For carrier frequency estimation, M power spectrum estimation method is used. When the SNR is greater than 7.5 dB, the estimation error can reach 10 ~ (-5) and the minimum error can reach 3 脳 10 ~ (-6). In the range of signal-to-noise ratio (SNR), the accurate estimation value can be obtained, and it is not sensitive to noise. For the SNR estimation, the power spectrum estimation method and the second-order moment fourth-order moment estimation method are analyzed. In this paper, the limitations of the two methods are explained. The method of singular value decomposition of autocorrelation matrix is described in detail, and the applicable conditions of the algorithm are pointed out. A modified scheme is proposed for the nonconforming band-pass filter signal, which can effectively estimate the signal-to-noise ratio of the receiver after band-pass filtering, and the estimation error is less than 1dB when the SNR is less than 20dB. When the SNR is higher than 20 dB and less than 30 dB, the error is less than 2 dB. Finally, the recognition method of modulation mode of MPSK signal is studied. According to the characteristics of phase modulated signal, the spectral line characteristic method and constellation method are introduced. The characteristics and limitations of the algorithms such as phase histogram method are discussed. The basic knowledge of high-order statistics is expounded, because the high-order cumulants of Gao Si white noise are all zero. Therefore, the high-order cumulant algorithm can eliminate the influence of white noise on signal recognition theoretically. Based on this, the characteristic parameters for MPSK signal recognition are constructed, and the signal recognition flow is designed. Three sets of signals of BPSK and UQPSK QPSK and 8PSK QPSK and OQPSK are compared and simulated respectively. The simulation results show that the recognition accuracy of BPSK and UQPSK signals can reach more than 95% when the symbol length is 1024 and the signal-to-noise ratio is more than 15dB. The recognition accuracy of QPSK and 8PSK signals can reach more than 95% when SNR is more than 10dB, 90% when SNR is greater than 5dB, and 100dB when SNR is higher than 15dB.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TN911.3

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