Abstract
It was regarded as ultimate starting point for distinguishing targets on surface and underwater ones in submarine recognition. Firstly, feasibility of underwater acoustic detection in deep sea was analysed and it was proved that environment of deep sea is better for long-distance passive detection. Secondly, elementary principle of underwater target depth estimation was studied and formulas of depth estimation were deduced. Then, algorithm of quick operating generalized correlation time delay estimation was studied for meeting high accuracy of time delay as key sector of underwater target depth measure, and its estimation accuracy was improved further through interpolation. So, depth was estimated whose estimation errors can be decreased by filtering algorithm of linear recursion least square. According to emulational experiment, this method was proved to be a real time one, which can lead to good depth measure accuracy and realize real time and exact track for moving target. At last, reliable and feasible experimental plan was designed and the finished lake experiment was analysed.
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References
Li, Q.H.: Design Principle of Digital Sonar. Anhui education publishing house, Hefei (2003)
Tie, Y., Liu, Y.: Study on the Implementation of Time Delay Estimation based on DSP. Journal of InnerMongolia University 38(6), 689–692 (2007)
Xing, J., Liu, Z.: Non-gaussian Underwater Acoustic Transient Signals Detection with Dual-channel Using Power-law Detectors. Technical Acoustics 27(1), 126–130 (2008)
Xing, J., Liu, Z., Peng, P.F.: Analyse of Accuracy for Passive Estimation of Target Depth in Deep sea based on Vertical Linear Array. In: IEEE Third International Conference on Innovative Computing, Information and Control (2008)
Liu, B.S., Lei, J.Y.: Underwater Acoustic Principle. Publishing house of Harbin Engineering University, Harbin (2006)
Swift, D., Riser, S.: Surveys of Buoyancy Requirements for Profiling Drifters. Argo-Buoyancy Survey (2000)
Xie, J.P., Zhu, J., Guo, J.G.: Track of Argo Buoyancy Was Used to Infer Oceanic Current of Surface and Middle Layer. International Argo News in brief 7, 16–28 (2006)
Shi, Z.S., Zhou, F., Sun, S.Y.: Application and Theory of Target Tracking and Data Fusion. Naval University of Engineering, Wuhan (2007)
Zhang, X.D.: Modern Signals Process. Publishing house of Tsinghua University, Beijing (2006)
Baugh, K.W.: Transient Signal Modeling and Detection Using Spectral Correlation. In: Proceeding IEEE Sixth SSAP Workshop on Statistical and Array Processing, Victria B C. Canada, pp. 7–9 (1992)
Zhao, S.J., Zhao, J.X.: Principle of Signal Detection and Estimation. Publishing house of Tsinghua University, Beijing (2005)
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Liu, Z., Xing, J., Peng, P., Fu, X. (2009). Application of Passive Estimation and Track of Target Depth in Submarine Recognition. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5552. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01510-6_99
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DOI: https://doi.org/10.1007/978-3-642-01510-6_99
Publisher Name: Springer, Berlin, Heidelberg
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