Underwater Ranging Method Based on PCA  in Confined Closed Environment

doi:10.3969/j.issn.1000-3428.2012.15.069

Computer Engineering ›› 2012, Vol. 38 ›› Issue (15): 244-246,250. doi: 10.3969/j.issn.1000-3428.2012.15.069

• Networks and Communications • Previous Articles Next Articles

Underwater Ranging Method Based on PCA in Confined Closed Environment

XU Yao-song^1,2, LI Yi-bo¹, FU Tong-lingB ¹, JIN Shi-jiu ¹

(1. State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China; 2. Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao 125105, China)

Received:2011-09-30 Online:2012-08-05 Published:2012-08-05

有限封闭环境中基于PCA的水声测距方法

徐耀松^1,2，李一博¹，付铜玲¹，靳世久¹

(1. 天津大学精密测试技术及仪器国家重点实验室，天津 300072；2. 辽宁工程技术大学电气与控制工程学院，辽宁葫芦岛 125105)

作者简介:徐耀松(1979－)，男，讲师、博士研究生，主研方向：水声定位，水声信号处理；李一博，副教授、博士后；付铜玲，硕士研究生；靳世久，教授
基金资助:
国家自然科学基金资助面上项目(2011B1-0089)；天津市应用基础及前沿技术研究计划基金资助项目(09JCYBJC02200)

Abstract

Abstract: A Principal Component Analysis(PCA) based acoustic ranging method is proposed for conducting feature extraction and dimension reduction. The method is used to suppress multipath effect interference and preserve enough information about the covariance matrix of the received signal. Experimental results show that the method can improve the accuracy and robustness of underwater ranging in confined closed environment.

Key words: confined closed environment, underwater ranging, Time of Flight(TOF), multipath effect, Principal Component Analysis(PCA), covariance matrix

摘要： 有限空间中多途效应严重影响测距的准确性，针对该问题，提出一种基于主成分分析的水声信号测距方法，对信号协方差矩阵进行降维和特征抽取，在保留协方差矩阵信息量的同时抑制多途干扰信号的影响。实验结果表明，该方法能够提高有限封闭液态场环境中水声测距的准确性和稳健性。

关键词: 有限封闭环境, 水声测距, 渡越时间, 多途效应, 主成分分析, 协方差矩阵

CLC Number:

TP391

XU Yao-Song, LI Yi-Bo, FU Tong-Ling, JIN Shi-Jiu. Underwater Ranging Method Based on PCA in Confined Closed Environment[J]. Computer Engineering, 2012, 38(15): 244-246,250.

徐耀松, 李一博, 付铜玲, 靳世久. 有限封闭环境中基于PCA的水声测距方法[J]. 计算机工程, 2012, 38(15): 244-246,250.

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References

[1] 赵正敏, 李洪海. 超声波TOF的递推相关估计[J]. 仪器仪表学报. 2010, 31(12): 2689-2694.
[2] Barshan B, Ayrulu B. Performance Comparison of Four Time- of-flight Estimation Methods for Sonar Signals[J]. Electronics Letters, 1998, 34(6): 1616-1617.
[3] Kim H, Park Y. Preliminary Study of Time-of-flight Measurement for 3D Position Sensing System Based on Acoustic Signals[C]// Proc. of ICCAS’02. Jeonbuk, Korea: [s. n.], 2002.
[4] Barshan B. Fast Processing Techniques for Accurate Ultrasonic Range Measurements[J]. Measurement Science and Technology, 2000, 11(1): 45-50.
[5] Mcmullan W G, Delanghe B A, Bird J S. A Simple Rising-edge Detector for Time-of-arrival Estimation[J]. IEEE Transactions on Instrumentation and Measurement, 1996, 45(4): 823-827.
[6] Kanpp C H, Carter G C. The Generalized Correlation Method for Estimation of Time Delay[J]. IEEE Transactions on Acoustics, Speech, and Signal Processing, 1976, 24(4): 320-327.
[7] 张卫平, 张合, 王伟策, 等. 基于两次谱分析的时延估计方法研究[J]. 应用声学, 2008, 27(3): 222-226.
[8] Heidemann J, Wei Y, Wills J, et al. Research Challenges and Applications for Underwater Sensor Networking[C]//Proc. of WCNC ’06. Las Vegas, USA: IEEE Press, 2006: 228-235.
[9] Shatara S, Xiaobo T. An Efficient, Time-of-flight-based Under- water Acoustic Ranging System for Small Robotic Fish[J]. IEEE Journal of Oceanic Engineering, 2010, 35(4): 837-846.
[10] Li Xi, Wu Renbiao, Rasmi S, et al. Acoustic Proximity Ranging in the Presence of Secondary Echoes[J]. IEEE Transactions on Instrumentation and Measurement, 2003, 52(5): 1593-1605.
[11] Turin G, Clapp F D, Johnston T L, et al. A Statistical Model Urban Multipath Propagation[J]. IEEE Transactions on Vehicular Technology, 1972, 21(1): 1-9.
[12] Bhardwaj T P, Natha R. Maximum Likelihood Estimation of Time Delays in Multipath Acoustic Channel-performance Versus Number of Multipath and Noise[C]//Proc. of the 4th International Conference on Signal Processing and Communication Systems. [S. 1.]: IEEE Press, 2010: 1-5.
[13] 陈天平, 陈弘. 主成分分析、神经网络及矩阵特征值[J]. 科学通报, 1996, 41(14): 1344-1367.
[14] 魏广芬, 唐祯安, 余隽. 基于主成分分析和BP神经网络的气体识别方法研究[J]. 传感技术学报, 2001, 14(4): 292-298.
[15] 王佳鑫, 黄登山. 相干信号源DOA估计ESPRIT改进算法研究[J]. 计算机仿真, 2010, 27(2): 373-376.
[16] 张怀根, 吴顺君, 张林让, 等. 基于协方差矩阵元素的多目标角跟踪方法[J]. 西安电子科技大学学报, 2008, 35(5): 785-792.
[17] Le C Y, Kanter I, Solla S A. Eigenvalues of Covariance Matrices: Application to Neural-network Learning[J]. Physical Review Letters, 1991, 66(18): 2396-2399.
[18] Everson R, Roberts S. Inferring the Eigenvalues of Covariance Matrices from Limited, Noisy Data[J]. IEEE Transactions on Signal Processing, 2000, 48(7): 2083-2091.

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