【摘要】：傳輸信息是通信系統(tǒng)的目的所在,而通信系統(tǒng)的有效性和可靠性是其主要的指標(biāo)。在實(shí)際通信信道上傳輸信號時,由于信道傳輸特性并不是理想的且有非常嚴(yán)重的噪聲影響,在接收信號時會發(fā)生錯誤,這種錯誤的存在是不可避免的。信道編碼是在數(shù)據(jù)傳輸/存儲中所采用的一種數(shù)字處理技術(shù),它能降低系統(tǒng)差錯率,提高系統(tǒng)可靠性。在多種多樣的信道編碼中,FEC(前向糾錯編碼)是不容忽視的一種,這種編碼在發(fā)送端進(jìn)行編碼,接收端接收到數(shù)據(jù)之后,能夠根據(jù)編碼中的數(shù)學(xué)關(guān)系自動糾正通信過程中的錯誤。同時這種前向糾錯編碼對于信息傳輸來說不需要存儲空間來存放數(shù)據(jù),也不像別的降低系統(tǒng)差錯的手段一樣需要反饋信息數(shù)據(jù)等,同時它的實(shí)時性還非常不錯,因此,在當(dāng)今許多的數(shù)字通信系統(tǒng)都在信道編碼方案中使用了前向糾錯編碼。本文在通過詳細(xì)分析其理論并較為詳盡的闡述信道編解碼原理,并在此基礎(chǔ)上對通信系統(tǒng)中的RS碼和卷積碼等前向糾錯碼以及交織技術(shù)進(jìn)行了基于Matlab的仿真實(shí)現(xiàn)和性能分析。而排列熵是一種對信號復(fù)雜度的度量,它在反映一維時間序列復(fù)雜度方面,具有計(jì)算簡單,實(shí)時性高,抗噪聲能力強(qiáng)的特點(diǎn),本文也對排列熵進(jìn)行了較為深入的研究,針對其特點(diǎn),研究排列熵的幾個重要參數(shù)對排列熵的影響,通過實(shí)驗(yàn)的分析,可以在不同的場選擇不同的參數(shù)來對數(shù)據(jù)進(jìn)行分析,這些數(shù)據(jù)包括排列熵所選取的窗口長度,嵌入的維度以及延遲時間。然后,將其引入糾錯編碼,實(shí)現(xiàn)用排列熵來研究信道編碼的隨機(jī)化能力—不可預(yù)測度特性。由于現(xiàn)有的對信道編的評價僅限于其誤碼率和編碼效率,本文的工作就是引入排列熵對信道編碼的不可預(yù)測度來進(jìn)行評價,以反映信道編碼對數(shù)據(jù)的隨機(jī)化能力。
[Abstract]:The purpose of communication system is to transmit information, and the effectiveness and reliability of communication system is its main index. When the signal is transmitted on the actual communication channel, because the channel transmission characteristic is not ideal and has very serious noise influence, there will be errors when receiving the signal, which is inevitable. Channel coding is a digital processing technique used in data transmission / storage. It can reduce system error rate and improve system reliability. In a variety of channel coding, FEC (forward error correction coding is one of the most important. This kind of coding can automatically correct the errors in the communication process according to the mathematical relation of the coding after receiving the data at the transmitter. At the same time, this kind of forward error correction coding does not need storage space to store data for information transmission, and it does not require feedback information data as other ways to reduce system errors. At the same time, its real-time performance is very good, so, Nowadays, many digital communication systems use forward error correction coding in channel coding schemes. In this paper, the theory of channel coding and decoding is analyzed in detail, and the forward error correction codes such as RS code and convolutional code and interleaving technology in communication system are simulated and analyzed based on Matlab. Permutation entropy is a measure of signal complexity. It has the characteristics of simple calculation, high real-time performance and strong anti-noise ability in reflecting the complexity of one-dimensional time series. According to its characteristics, the influence of several important parameters of permutation entropy on permutation entropy is studied. Through experimental analysis, different parameters can be selected in different fields to analyze the data, including the window length chosen by permutation entropy. Embedded dimension and delay time. Then, it is introduced into error-correcting coding to realize the randomization-unpredictable property of channel coding with permutation entropy. Because the existing evaluation of channel coding is limited to its bit error rate and coding efficiency, the work of this paper is to introduce permutation entropy to evaluate the unpredictable degree of channel coding to reflect the randomization ability of channel coding to data.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TN911.22

【共引文獻(xiàn)】

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本文編號：2287907