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  本文選題：幀結(jié)構(gòu) + 線性反饋移位寄存器��； 參考：《電子科技大學》2014年碩士論文

【摘要】：非合作解調(diào)數(shù)據(jù)的幀結(jié)構(gòu)分析是信息處理的重要組成部分,對它的研究是信息獲取領(lǐng)域的重要課題。非合作解調(diào)數(shù)據(jù)的幀結(jié)構(gòu)分析以期獲得對通信傳輸幀封裝結(jié)構(gòu)的最大理解,主要包括幀同步、擾碼識別、信道編碼識別和系統(tǒng)信息分析等。過去主要集中在盲幀同步、信道編碼盲識別及擾碼盲識別等領(lǐng)域,分析相互獨立且適用條件有限。而通信系統(tǒng)模塊間構(gòu)成輸入輸出關(guān)系,存在算法適用條件不滿足的情況,公開發(fā)表的關(guān)于通信系統(tǒng)結(jié)構(gòu)和信道編碼與擾碼的復合碼的識別研究結(jié)果較少。本文對非合作通信解調(diào)數(shù)據(jù)的幀結(jié)構(gòu)進行分析,特別針對信道編碼與擾碼的復合碼識別展開研究,總結(jié)起來主要包括如下幾個方面:1.以實際通信系統(tǒng)為例,對其幀封裝結(jié)構(gòu)進行對比分析,總結(jié)了一種適用于外同步且?guī)叫畔⑾嗤⑿诺谰幋a與擾碼復合的通信系統(tǒng)幀封裝結(jié)構(gòu),全文以此結(jié)構(gòu)展開分析。2.仿真驗證了擾碼識別算法,盲幀同步序列估計算法;分析了經(jīng)過信道編碼前后序列的0、1不平衡性及數(shù)字特性的變化。由此得到了擾碼識別算法不適用于信道編碼與擾碼的復合碼的擾碼識別的結(jié)論。3.分析得到了線性分組碼和卷積碼碼字間異或得到的碼字仍為原碼字空間中的碼字的性質(zhì),擾碼抵消算法利用這個性質(zhì)可以構(gòu)造信道編碼與擾碼的復合碼的信道編碼數(shù)據(jù)。針對幀間擾碼相同的幀結(jié)構(gòu),提出了一種基于擾碼抵消的構(gòu)造復合碼信道編碼數(shù)據(jù)的算法。仿真驗證基于對偶碼的復合碼的擾碼識別算法是有效的,并在存在誤碼時,將算法改進為基于校驗矩陣的復合碼的擾碼識別算法。4.針對幀間擾碼不同的幀結(jié)構(gòu),提出了一種復合碼的同步盲識別算法。誤碼下對基于擾碼抵消的對偶碼和校驗矩陣的復合碼盲識別算法以及復合碼的同步盲識別算法做出改進;仿真結(jié)果表明改進算法對接收數(shù)據(jù)量要求增大,但計算量下降,抗誤碼性能更優(yōu);基于擾碼抵消和校驗矩陣的復合碼盲識別性能最優(yōu),基于擾碼抵消和對偶碼的復合碼盲識別算法其次,復合碼的同步盲識別算法最差。
[Abstract]:Frame structure analysis of non-cooperative demodulation data is an important part of information processing, and its research is an important subject in the field of information acquisition. The frame structure analysis of non-cooperative demodulation data is aimed at obtaining the maximum understanding of the frame encapsulation structure of communication transmission, including frame synchronization, scrambling code identification, channel coding identification and system information analysis. In the past, blind frame synchronization, channel coding blind recognition and scrambling code blind recognition were mainly concentrated in the past. However, due to the input-output relationship between the modules of the communication system, there are some cases where the applicable conditions of the algorithm are not satisfied. There are few published research results on the structure of the communication system and the identification of the complex codes of the channel coding and scrambling codes. In this paper, the frame structure of demodulated data in non-cooperative communication is analyzed, especially for the identification of complex codes of channel coding and scrambling code, which includes the following aspects: 1. Taking the actual communication system as an example, the frame encapsulation structure of the communication system is compared and analyzed, and a frame encapsulation structure suitable for external synchronization with the same frame synchronization information and composite channel coding and scrambling code is summarized. Simulation verifies the scrambling identification algorithm and blind frame synchronization sequence estimation algorithm, and analyzes the variation of the unbalance and digital characteristics of the sequence before and after the channel coding. It is concluded that the scrambling code recognition algorithm is not suitable for the scrambling code recognition of the complex code of channel coding and scrambling code. In this paper, we obtain the property that the code words obtained by the XOR between linear block code and convolutional code are still codewords in the original code space, and the scrambling code cancellation algorithm can construct the channel coded data of the complex code of channel coding and scrambling code by using this property. For the frame structure with the same scrambling code between frames, an algorithm based on scrambling cancellation is proposed to construct the coded data of complex code channel. Simulation shows that the scrambling code recognition algorithm based on dual code is effective, and when there is error code, the algorithm is improved to a scrambling code recognition algorithm based on check matrix. A synchronization blind recognition algorithm for complex codes is proposed for frame structures with different scrambling codes. Under the error code condition, the blind identification algorithm of dual code and check matrix based on scrambling code cancellation and the algorithm of synchronous blind recognition of complex code are improved. The simulation results show that the improved algorithm requires more received data, but the calculation amount decreases. The blind recognition performance of complex codes based on scrambling cancellation and check matrix is optimal, the blind recognition algorithm of complex codes based on scrambling cancellation and dual code is the second, and the synchronization blind recognition algorithm of complex codes is the worst.
【學位授予單位】：電子科技大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN911.22

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相關(guān)期刊論文 前1條

1 郝士琦;戚林;王勇;;一種新的偽隨機擾碼盲識別方法[J];電路與系統(tǒng)學報;2011年04期

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本文編號：2020163