油田注水井水声信道和自适应均衡仿真
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摘要
本论文研究油田注水井水声信道特性，并对其仿真；然后研究信道自适应均衡算法，并对水声信道的均衡进行仿真。
本文将本征路径水声信道模型(EUACC)引入到油田注水井水声信道中。结合实际情况，对注水井水声信道进行理论分析，计算出EUACC模型仿真参数。并结合带通通信方式仿真注水井水声信道，得出仿真结果。
为降低码间干扰产生的误码率，本文提出自适应均衡技术，主要包括线性均衡和判决反馈的非线性均衡。在分析中，结合最小均方误差算法和递归最小二乘算法的原理和特点，设计出线性、非线性共四种算法的计算流程。结合多径信道模型，对这四种算法在基带通信条件下仿真得出对应的误码率。根据均衡效果，给出了每种算法的适用信道条件。
本文结合改进的EUACC水声信道模型、带通通信方式和自适应均衡算法，设计了注水井水声通信系统的信道均衡模型并用此模型进行仿真。分析系统中接收滤波器带宽以及噪声对均衡器处理效果的影响，提出利用接收滤波器与均衡器对信噪比较小的接收信号联合处理的方法。
Our emphasizes in these paper are the simulation of the underwater acoustic channel of water inject well based on the characteristices of the real ones, which are obtained by analyzing the real ones in the oil field, as well as the application to the channel equalization algorithm in the equalization for the underwater acoustic channel of the water inject well mentioned above.
First of all, we introduce the model of EUACC (Engipath Underwater Acoustic Communication Channel) ,as well as its application to the underwater acoustic channel of water inject well. In terms of the model of EUACC,we use the simulated parameters,which are obtained through analyzing the model of the acoustic channel of water inject well in theory,to simulate the underwater acoustic channel of the water inject well by the approach of passband communication.Then,the final result of the simulation,as well as the corresponding analysis of the results,are showed finally.
In addition,we propose the approach of the adaptive equalization algorithm to reduce rate of error code ,which is caused by ISI (intersymbol inference).According to the structure of adaptive equalization,we demonstrate the analysis of liner equalization and decision feedback equalization,in which the principles and the characteristices of the Least Mean Square algorithm and Recursive Least Square algorithm are adopted.Moreover,four approaches of four algorithm,which are proposed by ourselves, are demonstrated,as well as the simulation of performance of each approach under the condition of baseband communication based on the simple multipath model.In terms of the result of the simulation,the adapted channel conditions for each algorithm are demonstrated.
At last, with the equalization algorithm,the improved model of EUACC,as well as the approach of passband communication mentioned above, we demonstrate the model of the the underwater acoustic equalization channel of the water inject well,as well as the simulation based on these model.The bandwidth of the filter and the effect of noise to the performance of equalizer are analyzed too.Additionally,a new approach based on both the filter and the equalizer are proposed.
本文将本征路径水声信道模型(EUACC)引入到油田注水井水声信道中。结合实际情况，对注水井水声信道进行理论分析，计算出EUACC模型仿真参数。并结合带通通信方式仿真注水井水声信道，得出仿真结果。
为降低码间干扰产生的误码率，本文提出自适应均衡技术，主要包括线性均衡和判决反馈的非线性均衡。在分析中，结合最小均方误差算法和递归最小二乘算法的原理和特点，设计出线性、非线性共四种算法的计算流程。结合多径信道模型，对这四种算法在基带通信条件下仿真得出对应的误码率。根据均衡效果，给出了每种算法的适用信道条件。
本文结合改进的EUACC水声信道模型、带通通信方式和自适应均衡算法，设计了注水井水声通信系统的信道均衡模型并用此模型进行仿真。分析系统中接收滤波器带宽以及噪声对均衡器处理效果的影响，提出利用接收滤波器与均衡器对信噪比较小的接收信号联合处理的方法。
Our emphasizes in these paper are the simulation of the underwater acoustic channel of water inject well based on the characteristices of the real ones, which are obtained by analyzing the real ones in the oil field, as well as the application to the channel equalization algorithm in the equalization for the underwater acoustic channel of the water inject well mentioned above.
First of all, we introduce the model of EUACC (Engipath Underwater Acoustic Communication Channel) ,as well as its application to the underwater acoustic channel of water inject well. In terms of the model of EUACC,we use the simulated parameters,which are obtained through analyzing the model of the acoustic channel of water inject well in theory,to simulate the underwater acoustic channel of the water inject well by the approach of passband communication.Then,the final result of the simulation,as well as the corresponding analysis of the results,are showed finally.
In addition,we propose the approach of the adaptive equalization algorithm to reduce rate of error code ,which is caused by ISI (intersymbol inference).According to the structure of adaptive equalization,we demonstrate the analysis of liner equalization and decision feedback equalization,in which the principles and the characteristices of the Least Mean Square algorithm and Recursive Least Square algorithm are adopted.Moreover,four approaches of four algorithm,which are proposed by ourselves, are demonstrated,as well as the simulation of performance of each approach under the condition of baseband communication based on the simple multipath model.In terms of the result of the simulation,the adapted channel conditions for each algorithm are demonstrated.
At last, with the equalization algorithm,the improved model of EUACC,as well as the approach of passband communication mentioned above, we demonstrate the model of the the underwater acoustic equalization channel of the water inject well,as well as the simulation based on these model.The bandwidth of the filter and the effect of noise to the performance of equalizer are analyzed too.Additionally,a new approach based on both the filter and the equalizer are proposed.
引文
[1] M Stojanovi, "Recent advances in high-speed underwater acoustic communication, "IEEE J. Oceanic Eng, vol 15, no.3, pp. 205-216, july 1990.
[2] M. Stojanovic, J. A. Captipovic, and J. G. Proakis, "Phase-coherent digital communication for underwater acoustic channels" IEEE J. Oceanic Eng, vol 19, no. 1, pp. 100- 111, jan, 1994
[3] G. D. Fomey, "Maximum-likelyhood Sequence Establish of Digital of Sequences in the presence of Intersymbol Interference, "IEEE Trans. Inform. theory, vol IT-18, no.3 pp. 363-373, May 1972
[4] J. Salz, "On Mean-square Decision Feedback Equalization and Timing Phase, "IEEE Trans. Commun, vol. COM-25, no. 12, pp. 1471-1476, dec, 1977.
[5] J. G. Proakis, "Adaptive Equalization for Fading Dispersive Channels," IEEE Trans. Infor. Thorey, pp 56-63, Jan, 1971
[6] 涂峰等，水声信道的建摸与仿真研究，微计算机信息，2003
[7] 李枫，黄瑞光，一种fsk水下声通信接收系统的设计与实现，声学与电子工程，2004
[8] M. Feder and J. A. Captivice, "Algorithms for joint channel establish and data recovery-application to equalization in underwater communications," IEEE J. Oceanic Eng, vol. 16, no. 1, pp.42-55, jan, 1991
[9] S. U. H. Qureshi, "Adaptive Equalization," Processding of the IEEE, vol.73, no.9 Sep. 1985
[10] Yonghai Gu, and Tho Le-Ngoc, "Adaptive combined DEF/MLSE techniques for ISI channels," IEEE Trans. Commun, vol.44, no.7, pp847-856, July 1996.
[11] 周立胜，万燕，朱洪波，Rice 衰落信道的统计特性分析与仿真，南京邮电学院学报(自然科学版)，2000：27-31
[12] R. Price and P. E. Green. "A communication technique for multipath channels,". Proc, IRE, vol. 46, 1958: 555-570
[11] 刘敏，魏铃，Matlab通信仿真与应用，国防工业出版社，2000
[12] 顾金海，叶学千，水声学基础，国防工业出版社，1981：72-136
[13] 高松龄，柴勤忠，多径传播的水声信号模拟研究，石油大学学报(自然科学版)，1997
[14] 惠俊英，刘丽，Pattern---时延差编码通信技术研究，声学学报，1999，24
[15] M Stojanovic, J. G. Proakis and J. A. catipovic, " Analysis of the Impact of Channel Establish Errors on the Performance of a Decision-Feedback Equalizer in Fading Maltipath Channel" IEEE Trans. Commun, vol.43, no.2, pp.877-886, Feb,
[16] B. Geller, V. Capellano, J. Brossier, A. Essebar and G. Jourdain," Equalizer for Vidio Rate Transmission in Multipath Underwater Acoustic Communications," IEEE J. Oceanic Eng, vol.21, no.2, pp.150 155, Aprill 1996
[17] B. Woodward, and H. Sari, "Digital Underwater Acoustic Voice Communications," I EEE J. Oceanic Eng., vol.21, no.2, pp.181 191, Apri119 96
[18] J. G. Proakis, "Adaptive Equalization Techniques for Channels, "I EEE J. Oceanic E ng, vol-16,
[19] D. Brady, and J. A. Catipovic, "Adaptive multiuser Detection for Underwater Acoustic alC hannels," I EEEJ. OceanicE ng., v ol. 19, n o.2, p p. 1 58-165, A pill 1994
[20] 樊吕信，詹道庸．徐炳祥等，通信原理(第四版)国防工业出版社 1995
[21] 刘伯胜，雷家煜．水声学原理．哈尔滨工业船舶工程学院出版社．1993
[22] 朱勤．，多普勒效应的分析及其应用原理．，韶关大学学报，Oct，1994，vol．15，no．4：12-16
[23] 刘伯胜，雷家煜 水声学原理 哈尔滨工程出版社 1993
[24] 李启虎，数字式卢纳设计原理 安徽教育出版社 2003
[25] 钱秋珊， 陆根源水声信号处理基础， 国防工业出版社， 1981
[26] 孙轶源，水声通信中的自适应均衡技术研究 1999
[27] 张贤达，保铮 通信信号处理 国防工业出版社 2000 12
[2] M. Stojanovic, J. A. Captipovic, and J. G. Proakis, "Phase-coherent digital communication for underwater acoustic channels" IEEE J. Oceanic Eng, vol 19, no. 1, pp. 100- 111, jan, 1994
[3] G. D. Fomey, "Maximum-likelyhood Sequence Establish of Digital of Sequences in the presence of Intersymbol Interference, "IEEE Trans. Inform. theory, vol IT-18, no.3 pp. 363-373, May 1972
[4] J. Salz, "On Mean-square Decision Feedback Equalization and Timing Phase, "IEEE Trans. Commun, vol. COM-25, no. 12, pp. 1471-1476, dec, 1977.
[5] J. G. Proakis, "Adaptive Equalization for Fading Dispersive Channels," IEEE Trans. Infor. Thorey, pp 56-63, Jan, 1971
[6] 涂峰等，水声信道的建摸与仿真研究，微计算机信息，2003
[7] 李枫，黄瑞光，一种fsk水下声通信接收系统的设计与实现，声学与电子工程，2004
[8] M. Feder and J. A. Captivice, "Algorithms for joint channel establish and data recovery-application to equalization in underwater communications," IEEE J. Oceanic Eng, vol. 16, no. 1, pp.42-55, jan, 1991
[9] S. U. H. Qureshi, "Adaptive Equalization," Processding of the IEEE, vol.73, no.9 Sep. 1985
[10] Yonghai Gu, and Tho Le-Ngoc, "Adaptive combined DEF/MLSE techniques for ISI channels," IEEE Trans. Commun, vol.44, no.7, pp847-856, July 1996.
[11] 周立胜，万燕，朱洪波，Rice 衰落信道的统计特性分析与仿真，南京邮电学院学报(自然科学版)，2000：27-31
[12] R. Price and P. E. Green. "A communication technique for multipath channels,". Proc, IRE, vol. 46, 1958: 555-570
[11] 刘敏，魏铃，Matlab通信仿真与应用，国防工业出版社，2000
[12] 顾金海，叶学千，水声学基础，国防工业出版社，1981：72-136
[13] 高松龄，柴勤忠，多径传播的水声信号模拟研究，石油大学学报(自然科学版)，1997
[14] 惠俊英，刘丽，Pattern---时延差编码通信技术研究，声学学报，1999，24
[15] M Stojanovic, J. G. Proakis and J. A. catipovic, " Analysis of the Impact of Channel Establish Errors on the Performance of a Decision-Feedback Equalizer in Fading Maltipath Channel" IEEE Trans. Commun, vol.43, no.2, pp.877-886, Feb,
[16] B. Geller, V. Capellano, J. Brossier, A. Essebar and G. Jourdain," Equalizer for Vidio Rate Transmission in Multipath Underwater Acoustic Communications," IEEE J. Oceanic Eng, vol.21, no.2, pp.150 155, Aprill 1996
[17] B. Woodward, and H. Sari, "Digital Underwater Acoustic Voice Communications," I EEE J. Oceanic Eng., vol.21, no.2, pp.181 191, Apri119 96
[18] J. G. Proakis, "Adaptive Equalization Techniques for Channels, "I EEE J. Oceanic E ng, vol-16,
[19] D. Brady, and J. A. Catipovic, "Adaptive multiuser Detection for Underwater Acoustic alC hannels," I EEEJ. OceanicE ng., v ol. 19, n o.2, p p. 1 58-165, A pill 1994
[20] 樊吕信，詹道庸．徐炳祥等，通信原理(第四版)国防工业出版社 1995
[21] 刘伯胜，雷家煜．水声学原理．哈尔滨工业船舶工程学院出版社．1993
[22] 朱勤．，多普勒效应的分析及其应用原理．，韶关大学学报，Oct，1994，vol．15，no．4：12-16
[23] 刘伯胜，雷家煜 水声学原理 哈尔滨工程出版社 1993
[24] 李启虎，数字式卢纳设计原理 安徽教育出版社 2003
[25] 钱秋珊， 陆根源水声信号处理基础， 国防工业出版社， 1981
[26] 孙轶源，水声通信中的自适应均衡技术研究 1999
[27] 张贤达，保铮 通信信号处理 国防工业出版社 2000 12