本文選題：水聲通信　切入點(diǎn)：自適應(yīng)跳頻　出處：《南京理工大學(xué)》2017年碩士論文

【摘要】：隨著通信領(lǐng)域的迅猛發(fā)展,以常規(guī)的跳頻技術(shù)為基本方法的自適應(yīng)跳頻技術(shù)漸漸成為通信研究的熱點(diǎn)之一。在水聲自適應(yīng)跳頻通信系統(tǒng)中,干擾與噪聲的影響以及通信頻率的隨機(jī)跳變,使得信道質(zhì)量估計(jì)變得尤為重要。另外,對(duì)于通信系統(tǒng),調(diào)制解調(diào)技術(shù)是關(guān)鍵部分,影響著通信系統(tǒng)的整體性能。因此,合適的調(diào)制解調(diào)技術(shù)與信道質(zhì)量估計(jì)算法是實(shí)現(xiàn)跳頻通信的關(guān)鍵所在。本文在總結(jié)國(guó)內(nèi)外學(xué)者的研究基礎(chǔ)上,研究基于水聲跳頻通信的信道估計(jì)算法與CPM信號(hào)解調(diào)譯碼算法,以算法的準(zhǔn)確度與復(fù)雜度為衡量標(biāo)準(zhǔn),對(duì)經(jīng)典算法進(jìn)行了相應(yīng)的優(yōu)化,并且提出了一些新的改進(jìn)算法。首先在深海信道中,對(duì)經(jīng)典最大似然估計(jì)算法進(jìn)行推導(dǎo),并且在不同的數(shù)據(jù)長(zhǎng)度與調(diào)制方式下進(jìn)行理論仿真實(shí)驗(yàn)分析;根據(jù)CPM信號(hào)頻譜特性提出一種新的信道估計(jì)算法,利用功率譜中信號(hào)與噪聲的相對(duì)關(guān)系進(jìn)行信噪比估計(jì),相比于最大似然估計(jì)算法,新算法在中高信噪比的均方根誤差低0.1dB左右,且算法復(fù)雜度大大減少;對(duì)經(jīng)典卡爾曼濾波估計(jì)信噪比算法進(jìn)行改進(jìn),使用支持向量回歸模型對(duì)卡爾曼濾波結(jié)構(gòu)進(jìn)行修正,相比于原經(jīng)典算法,改進(jìn)算法解決了高信噪比時(shí)性能變差的問(wèn)題,并且估計(jì)的均方根誤差至少降低了 0.08dB。然后在淺海信道中,對(duì)CPM頻譜信噪比估計(jì)算法優(yōu)化推導(dǎo),擴(kuò)大算法的應(yīng)用范圍,理論仿真實(shí)驗(yàn)分析得到該算法在淺海信道下的均方根誤差只比深海信道差了0.08dB,達(dá)到了 0.18dB左右,并且復(fù)雜度很低,適合實(shí)時(shí)估計(jì);對(duì)經(jīng)典卡爾曼濾波估計(jì)信噪比算法進(jìn)行改進(jìn),改進(jìn)后的算法適用于淺海信道,并且均方根誤差在0.15dB左右,但是在高信噪比時(shí)性能變差。最后進(jìn)行基于信道估計(jì)的CPM信號(hào)低復(fù)雜度解調(diào)譯碼算法的改進(jìn)。在加性高斯白噪聲信道下,詳細(xì)介紹了差分減狀態(tài)序列檢測(cè)算法,并且在不同的條件下進(jìn)行理論仿真實(shí)驗(yàn);提出一種改進(jìn)的CPM解調(diào)譯碼算法,仿真證明改進(jìn)算法的誤碼率明顯低于差分減狀態(tài)算法。
[Abstract]:With the rapid development of communication field, adaptive frequency-hopping technology, which is based on conventional frequency-hopping technology, has gradually become one of the hotspots of communication research.In underwater acoustic adaptive frequency-hopping communication system, the influence of interference and noise and the random jump of communication frequency make the channel quality estimation become more and more important.In addition, the modulation and demodulation technology is a key part of the communication system, which affects the overall performance of the communication system.Therefore, appropriate modulation and demodulation technology and channel quality estimation algorithm are the key to achieve FH communication.Based on the research of domestic and foreign scholars, the channel estimation algorithm based on underwater acoustic frequency hopping communication and the demodulation decoding algorithm of CPM signal are studied in this paper. The classical algorithm is optimized according to the accuracy and complexity of the algorithm.Some new improved algorithms are also proposed.At first, the classical maximum likelihood estimation algorithm is deduced in deep-sea channel, and the theoretical simulation experiment is carried out under different data length and modulation mode. According to the spectrum characteristics of CPM signal, a new channel estimation algorithm is proposed.Compared with the maximum likelihood estimation algorithm, the new algorithm has a lower root mean square error (0.1dB) than the maximum likelihood estimation algorithm, and the complexity of the algorithm is greatly reduced.The classical Kalman filter estimation SNR algorithm is improved and the support vector regression model is used to modify the Kalman filter structure. Compared with the original classical algorithm, the improved algorithm solves the problem of poor performance when the SNR is high.The estimated root mean square error is reduced by 0.08dB at least.And the complexity is very low, suitable for real-time estimation; the classical Kalman filter estimation SNR algorithm is improved, the improved algorithm is suitable for shallow water channel, and the root mean square error is about 0.15dB, but the performance becomes worse when the SNR is high.Finally, the low complexity demodulation and decoding algorithm of CPM signal based on channel estimation is improved.In the additive Gao Si white noise channel, the differential subtraction state sequence detection algorithm is introduced in detail, and the theoretical simulation experiment is carried out under different conditions, and an improved CPM demodulation decoding algorithm is proposed.The simulation results show that the BER of the improved algorithm is obviously lower than that of the differential subtraction algorithm.
【學(xué)位授予單位】：南京理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TN929.3

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