【摘要】：通信信號的參數(shù)估計和調(diào)制識別是非合作通信系統(tǒng)中一項關(guān)鍵的技術(shù),在電子偵察、無線電頻譜監(jiān)測、緊急救援、物聯(lián)網(wǎng)工程等領(lǐng)域應(yīng)用中有著重要的作用。調(diào)制識別是指在不知道調(diào)制具體信息的情形下,直接從接收信號中估計出發(fā)送信號調(diào)制類型和某些參數(shù)信息,為信號解調(diào)、威脅評估、干擾識別等后續(xù)信號分析和處理過程提供依據(jù),而參數(shù)估計是調(diào)制方式識別和信號盲解調(diào)等處理的必要前提。同時隨著應(yīng)用場景的不斷變化,信道常常會出現(xiàn)一些顯著的非高斯脈沖噪聲,采用高斯模型設(shè)計的信號處理系統(tǒng)將會失效。經(jīng)過學(xué)者研究論證,發(fā)現(xiàn)用穩(wěn)定分布描述生活中廣泛存在的脈沖噪聲更加有效,因此研究穩(wěn)定分布噪聲環(huán)境下通信信號的參數(shù)估計及調(diào)制識別問題更加具有實際的工程意義。本文主要對穩(wěn)定分布噪聲環(huán)境下通信信號的參數(shù)估計和調(diào)制識別算法進行了研究。(1)針對穩(wěn)定分布噪聲環(huán)境下傳統(tǒng)循環(huán)譜算法估計通信信號參數(shù)失效的問題,本文基于傳統(tǒng)循環(huán)譜參數(shù)估計算法,通過構(gòu)造非線性變換的方法對廣義循環(huán)譜進行了定義,利用廣義循環(huán)譜截面譜線的位置對通信信號的載波頻率和碼元速率進行了聯(lián)合估計,并以BPSK信號為例對算法進行了理論驗證,最后對BPSK和16QAM信號進行了實驗仿真驗證。(2)針對穩(wěn)定分布噪聲環(huán)境下高階累積量不能對通信信號進行識別的問題,本文定義了廣義高階累積量,通過分析各個信號各階廣義高階累積量,構(gòu)造出特征參數(shù)用來對MFSK和MPSK信號進行類間識別,然后分析BPSK和QPSK、2FSK和4FSK信號的廣義循環(huán)譜截面譜線的特點,利用這些特點對其分別進行類內(nèi)識別,并設(shè)計出了分類器。最后通過實驗對2FSK、4FSK、BPSK和QPSK信號的類間和類內(nèi)識別進行了仿真驗證。
[Abstract]:The parameter estimation and modulation identification of communication signals is a key technology in non-cooperative communication systems, which plays an important role in the applications of electronic reconnaissance, radio spectrum monitoring, emergency rescue, Internet of things engineering and so on. Modulation identification is to estimate the modulation type and some parameter information of the transmitted signal directly from the received signal without knowing the specific information of the modulation, so as to demodulate the signal and evaluate the threat. The analysis and processing of subsequent signals such as interference identification provide the basis, and parameter estimation is a necessary prerequisite for modulation identification and blind demodulation. At the same time, with the continuous change of the application scene, some prominent non-Gao Si impulse noise often appears in the channel, and the signal processing system designed by the Gao Si model will fail. Through the research and demonstration of scholars, it is found that it is more effective to describe the pulse noise widely existing in life by using stable distribution, so it is more important to study the parameter estimation and modulation identification of communication signal under stable distribution noise. This paper mainly studies the parameter estimation and modulation identification algorithm of communication signal under stable distributed noise environment. (1) aiming at the problem of estimating communication signal parameter failure by traditional cyclic spectrum algorithm under stable distributed noise environment. Based on the traditional cyclic spectrum parameter estimation algorithm, the generalized cyclic spectrum is defined by constructing nonlinear transformation, and the carrier frequency and symbol rate of the communication signal are estimated by using the position of the cross section line of the generalized cyclic spectrum. Taking the BPSK signal as an example, the algorithm is theoretically verified. Finally, the experimental simulation of BPSK and 16QAM signals is carried out. (2) aiming at the problem that the high-order cumulant can not recognize the communication signal in the environment of stable distributed noise, In this paper, the generalized high-order cumulant is defined. By analyzing the generalized high-order cumulants of each signal, the characteristic parameters are constructed for the inter-class identification of MFSK and MPSK signals. Then, the characteristics of the generalized cyclic spectral cross section lines of BPSK, QPSK,2FSK and 4FSK signals are analyzed, which are used to identify them in class, and a classifier is designed. Finally, the inter-class and intra-class recognition of 2FSK4FSKK and QPSK signals are verified by simulation.
【學(xué)位授予單位】：蘭州理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TN911

【參考文獻】

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本文編號：2248754