本文選題：軟信息 + 信道編碼��； 參考：《中國科學(xué)技術(shù)大學(xué)》2016年碩士論文

【摘要】：在移動通信中,隨著用戶數(shù)目的增多,信道資源變得越來越緊張。為了緩解這一問題,引入了自適應(yīng)調(diào)制編碼技術(shù),該技術(shù)根據(jù)信道質(zhì)量自適應(yīng)地選擇調(diào)制和信道編碼方式,并將相應(yīng)的信息通過控制信道進(jìn)行傳輸。但是由于噪聲、干擾、延時等時變因素的存在,可能會使得控制信息不能及時、準(zhǔn)確地到達(dá)接收端,同時頻繁的控制信息傳輸會增大控制信道的開銷。于是信道編碼方式的自動識別被提出,它在已知候選信道編碼方式集合的情況下,接收端僅根據(jù)接收序列的軟信息識別出發(fā)送端所使用的信道編碼方式。此外,在非協(xié)同的信息截獲領(lǐng)域,偵察方并不能準(zhǔn)確知道被偵察方所使用的信道編碼方式,但可以根據(jù)一些先驗(yàn)信息獲得對方可能使用的信道編碼方式的集合。此時就可以利用信道編碼方式的自動識別技術(shù),根據(jù)截獲信號解調(diào)后的軟信息來進(jìn)一步識別信道編碼方試,從而為后續(xù)譯碼等工作提供支撐。由此可見,信道編碼方式的自動識別對于協(xié)同工作的移動通信和非協(xié)同工作的信息截獲都至關(guān)重要。本文在此應(yīng)用背景下開展基于軟信息的信道編碼方式的自動識別方法研究,主要工作有以下兩方面：1.卷積碼、線性分組碼和LDPC碼的自動識別方法提出一種改進(jìn)算法,用于卷積碼、線性分組碼和LDPC碼的自動識別。改進(jìn)算法根據(jù)接收序列的軟信息,計(jì)算得到校驗(yàn)關(guān)系的后驗(yàn)概率對數(shù)似然比,并將它的加權(quán)均值作為識別特征量,通過識別特征量的最大值來確定發(fā)送端使用的信道編碼方式。理論分析可知,與現(xiàn)有算法相比,改進(jìn)算法的算法復(fù)雜度更低,并且更加易于工程實(shí)現(xiàn)。仿真實(shí)驗(yàn)表明,改進(jìn)算法能在較短的檢測長度下達(dá)到較高的檢測概率,可以滿足實(shí)際系統(tǒng)的應(yīng)用需求。2. Turbo碼的自動識別方法提出一種適用于Turbo碼的自動識別算法。通過對Turbo碼編碼器結(jié)構(gòu)的分析,該算法首先對接收序列的軟信息進(jìn)行解復(fù)接和解刪除,獲得兩個分量編碼器的輸出序列軟信息,然后對刪除比特的軟信息進(jìn)行修補(bǔ),最后利用卷積碼的自動識別算法對分量編碼器、刪除結(jié)構(gòu)和交織器進(jìn)行識別,進(jìn)而完成Turbo碼的自動識別。仿真實(shí)驗(yàn)表明,該算法可以有效地實(shí)現(xiàn)對于Turbo碼的自動識別。
[Abstract]:In mobile communications, as the number of users increases, channel resources become more and more tense. In order to alleviate this problem, adaptive modulation coding is introduced. The technology adaptively selects modulation and channel coding based on channel quality, and transfers the corresponding information through the control channel. But because of noise, interference, and delay, the technology is used to transmit the corresponding information through the control channel. The existence of time-varying factors may make the control information not timely and accurately arrive at the receiver, while frequent control of information transmission increases the overhead of the control channel. In addition, in the field of non cooperative information interception, the reconnaissance party can not accurately know the channel coding method used by the reconnaissance party, but can obtain the set of channel coding methods that the other party may use according to some prior information. Automatic recognition technology is based on the soft information after the interception of the signal to further identify the channel coding test, thus providing support for the subsequent decoding work. Thus, the automatic recognition of the channel coding mode is crucial to the information interception of the mobile communication and non cooperative work in cooperative work. This paper is carried out under this application background. Research on automatic recognition of channel coding based on soft information, the main work has two aspects as follows: 1. convolutional code, linear block code and LDPC code automatic recognition method, an improved algorithm is proposed for automatic recognition of convolutional code, linear block code and LDPC code. The improved algorithm is calculated and verified on the basis of the soft information of the receiving sequence. The posteriori probability logarithm likelihood ratio of the relation is used and its weighted mean is used as the recognition feature. The channel coding mode used by the transmitter is determined by identifying the maximum value of the characteristic quantity. The theoretical analysis shows that the improved algorithm is more complex and easier to implement than the existing algorithm. The simulation experiment shows that the improved algorithm is improved. The method can reach a higher detection probability under the short detection length, and can satisfy the application requirement of the actual system. The automatic recognition method of.2. Turbo code is proposed. By analyzing the structure of the Turbo code encoder, the algorithm first solves the soft information of the received sequence and removes and deletes the Turbo code. The soft information of the output sequence of the two component encoders is obtained, then the soft information of the deleted bits is mended. Finally, the automatic recognition algorithm of the convolutional code is used to recognize the component encoder, the deletion structure and the interleaver, and then the Turbo code is automatically recognized. The simulation experiment shows that the algorithm can effectively implement the Turbo code self. Dynamic identification.
【學(xué)位授予單位】：中國科學(xué)技術(shù)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：TN911.22

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