【摘要】：人們開發(fā)和利用海洋資源的一切活動,都與水聲通信技術有著緊密的聯(lián)系。經(jīng)過不斷地發(fā)展,水聲通信已經(jīng)形成了完整的系統(tǒng)體系。但由于水聲信道具有可用頻帶窄、強多途、高噪聲的特點,所以未編碼的水下通信系統(tǒng)誤碼率通常較高,很難滿足實際需求。因此信道編碼技術的研究對實現(xiàn)高質(zhì)量的水聲通信具有十分重要的意義。信道編碼通過在信息序列中加入校驗序列,使接收端能夠?qū)邮招蛄羞M行糾錯,從而減少由信道干擾帶來的錯誤,進一步降低了水聲通信的誤碼率。本文主要針對信道編碼中的RS碼、卷積碼和Turbo碼進行Matlab仿真研究和DSP實現(xiàn)。論文的第一個主要部分是信道編碼的Matlab仿真。首先是對RS碼的仿真,主要是通過改變編碼長度和糾錯能力兩個參數(shù)對其誤碼率進行分析;接著是對卷積碼的仿真,分析了碼率、生成矩陣、約束長度、回溯長度、判決方式以及軟判決時的量化值Q對卷積碼誤碼率的影響;在對Turbo碼進行仿真時,不僅對碼率、分量碼、迭代次數(shù)、交織長度四個參數(shù)進行了分析,還同時對Turbo碼的Log_MAP、Max_Log_MAP和SOVA三種譯碼算法進行比較,了解不同譯碼算法對性能的影響;最后將三種信道編碼在高斯白噪聲信道下對比,并加入水聲信道沖激響應進行仿真,分析水聲信道下不同信道編碼的性能特點。論文的另一個主要部分是三種信道編碼在DSP上的實現(xiàn),算法實現(xiàn)的硬件平臺選用的是TMS320C6455型DSP芯片。首先對RS碼、卷積碼和Turbo碼編解碼的軟件實現(xiàn)流程進行了詳細的介紹,主要通過程序流程圖的形式給出,同時對編解碼過程中變量的存儲空間進行了分配。然后向編碼后的數(shù)據(jù)中加入一些錯誤,通過解碼后的數(shù)據(jù)與編碼前數(shù)據(jù)進行比較,驗證三種編碼成功在DSP上實現(xiàn)。最后測出三種信道編碼的編碼耗時和解碼耗時,對算法復雜度進行比較。通過仿真和DSP實現(xiàn)的結果可以看出,在糾錯性能方面,Turbo碼的性能要比RS碼、卷積碼好很多;但在實現(xiàn)的復雜度方面,Turbo碼要比RS碼、卷積碼更加復雜。在水聲通信系統(tǒng)中,為了提高信息傳遞的可靠性,滿足高速的數(shù)據(jù)通信和高效的資源利用,選用Turbo碼的效果要更好一些。
[Abstract]:All activities of developing and utilizing marine resources are closely related to underwater acoustic communication technology. After continuous development, underwater acoustic communication has formed a complete system. However, the underwater acoustic channel has the characteristics of narrow available band, strong multi-path and high noise, so the uncoded underwater communication system usually has a high bit error rate, which is difficult to meet the actual needs. Therefore, the research of channel coding technology is very important to the realization of high quality underwater acoustic communication. Channel coding can correct the error of the received sequence by adding a check sequence to the information sequence, thus reducing the error caused by channel interference and further reducing the bit error rate of underwater acoustic communication. In this paper, the RS code, convolutional code and Turbo code in channel coding are studied by Matlab simulation and DSP implementation. The first part of this paper is the Matlab simulation of channel coding. The first part is the simulation of RS code, which mainly analyzes the bit error rate by changing the coding length and error correcting ability, and then analyzes the code rate, the generation matrix, the constraint length and the backtracking length of the convolutional code. In the simulation of Turbo code, not only four parameters, such as bit rate, component code, iteration number and interleaving length, are analyzed, but also the error rate of convolutional code is analyzed. At the same time, the Log_MAP,Max_Log_MAP and SOVA decoding algorithms of Turbo codes are compared to understand the influence of different decoding algorithms on the performance. Finally, the three channel codes are compared in Gao Si white noise channel, and the impulse response of underwater acoustic channel is simulated. The performance characteristics of different channel codes in underwater acoustic channels are analyzed. Another main part of this paper is the implementation of three channel codes on DSP. The hardware platform of the algorithm is TMS320C6455 DSP chip. Firstly, the software implementation flow of RS code, convolutional code and Turbo code is introduced in detail, mainly in the form of program flow chart. At the same time, the storage space of variables in the process of coding and decoding is allocated. Then some errors are added to the encoded data, and by comparing the decoded data with the pre-coding data, it is verified that the three codes are successfully implemented on DSP. Finally, the coding time and decoding time of the three channel codes are measured, and the complexity of the algorithm is compared. The results of simulation and DSP implementation show that the performance of Turbo code is much better than that of RS code and convolutional code, but the complexity of Turbo code is more complex than that of RS code and convolutional code. In underwater acoustic communication system, in order to improve the reliability of information transmission, to meet the high speed data communication and efficient resource utilization, the effect of selecting Turbo code is better.
【學位授予單位】：哈爾濱工程大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN929.3

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本文編號：2282709