本文選題：水聲通信 + 信道建模�。� 參考：《南京郵電大學(xué)》2015年碩士論文

【摘要】：隨著海洋研究與開發(fā)的進(jìn)一步深入,對(duì)水聲通信系統(tǒng)的性能要求越來越高。而水聲信道具有長時(shí)延、可用帶寬有限、環(huán)境背景噪聲高、多徑效應(yīng)明顯、多普勒頻移及信道衰減等特點(diǎn),這些復(fù)雜的影響因素,相互疊加并共同作用,嚴(yán)重影響了水聲通信的質(zhì)量,在下面兩個(gè)方面限制了水聲通信技術(shù)的應(yīng)用和發(fā)展:傳統(tǒng)的水聲信道建模方法受制于應(yīng)用環(huán)境條件等的限制,不能對(duì)水下聲學(xué)環(huán)境進(jìn)行有效的模擬;傳統(tǒng)的水聲信道估計(jì)方法,也因誤差較大,估計(jì)的精度和效果受到了較大的影響。本文首先分析了水聲信道的諸多重要特性,再簡要說明了現(xiàn)階段在水聲通信領(lǐng)域中應(yīng)用的技術(shù),重點(diǎn)闡述了水聲OFDM通信系統(tǒng)。在水聲信道的建模方面,先研究傳統(tǒng)的水聲信道建模方法,然后重點(diǎn)研究基于BELLHOP模型的水聲信道建模方法。在水聲信道估計(jì)方面,本文將信號(hào)及信息處理領(lǐng)域中的新理論——壓縮感知理論,應(yīng)用到了水聲信道估計(jì)中,并依此提出了基于壓縮感知理論的水聲OFDM通信系統(tǒng)信道估計(jì)方法,該方法通過線性內(nèi)插法插入二維導(dǎo)頻,用信道感知獲取信道的頻域響應(yīng)的采樣值,構(gòu)造相應(yīng)的過完備字典,并用壓縮采樣匹配追蹤算法,對(duì)水聲OFDM通信系統(tǒng)進(jìn)行有效的信道估計(jì)。最后,本文對(duì)水聲信道的建模及信道估計(jì)進(jìn)行了系統(tǒng)實(shí)現(xiàn)和驗(yàn)證實(shí)驗(yàn),實(shí)驗(yàn)結(jié)果表明:基于BELLHOP模型的水聲信道建模方法,能夠有效對(duì)海洋聲學(xué)環(huán)境特性進(jìn)行描述;基于壓縮感知理論的水聲OFDM通信系統(tǒng)信道估計(jì)方法,從信道估計(jì)的恢復(fù)精度、誤碼率、算法的復(fù)雜度和穩(wěn)定性等綜合因素考慮,其性能較現(xiàn)階段的其他方法更有效,更適合在水聲通信中應(yīng)用。
[Abstract]:With the further development of ocean research and development, the performance of underwater acoustic communication system is becoming more and more demanding. The underwater acoustic channel has the characteristics of long delay, limited available bandwidth, high background noise, obvious multipath effect, Doppler frequency shift and channel attenuation. It seriously affects the quality of underwater acoustic communication, and restricts the application and development of underwater acoustic communication technology in the following two aspects: the traditional underwater acoustic channel modeling method is restricted by the application environment, etc. The underwater acoustic environment can not be effectively simulated and the accuracy and effect of the traditional underwater acoustic channel estimation methods are greatly affected because of the large error. In this paper, many important characteristics of underwater acoustic channel are analyzed, and then the technologies used in underwater acoustic communication field are briefly described, and the underwater acoustic OFDM communication system is emphasized. In the aspect of underwater acoustic channel modeling, the traditional underwater acoustic channel modeling method is studied first, and then the underwater acoustic channel modeling method based on BELLHOP model is emphatically studied. In the aspect of underwater acoustic channel estimation, compression sensing theory, a new theory in signal and information processing, is applied to underwater acoustic channel estimation, and a channel estimation method for underwater acoustic OFDM communication system based on compressed sensing theory is proposed. In this method, the two-dimensional pilot is inserted by linear interpolation, and the sampling value of the frequency domain response of the channel is obtained by channel perception, and the corresponding overcomplete dictionary is constructed, and the compressed sampling matching tracking algorithm is used. The channel estimation of underwater acoustic OFDM communication system is carried out. Finally, the system implementation and validation experiment of underwater acoustic channel modeling and channel estimation are carried out in this paper. The experimental results show that the underwater acoustic channel modeling method based on BELLHOP model can effectively describe the environmental characteristics of ocean acoustics. The channel estimation method of underwater acoustic OFDM communication system based on compressed sensing theory is more effective than other methods in the present stage, considering the comprehensive factors such as restoration accuracy, bit error rate, complexity and stability of the algorithm. It is more suitable for underwater acoustic communication.
【學(xué)位授予單位】：南京郵電大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TN929.3

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