An Improved Algorithm of Underwater Target Feature Abstracting Based on Target Azimuth Tendency

Abstract:

Abstracting underwater target azimuth tendency feature is a common method to identify underwater target dimension. The cross-spectrum method of splitting beam is often used to abstracting underwater target azimuth tendency feature. But when the SNR is very low, this method is inefficient. In this thesis, an improved algorithm is presented to abstract underwater target azimuth tendency feature which can be used in the low SNR. In the algorithm, the underwater target highlight structure feature is used, and by least square fitting twice the underwater target azimuth tendency feature will be finally obtained. The simulation experiment results show that the proposed algorithm can be used to abstract underwater target azimuth tendency feature even when the SNR is very low. The improved algorithm has made an important foundation for further studying the feature detection and recognition of an underwater target dimension.

• Periodical: Applied Mechanics and Materials (Volumes 155-156)
• Pages: 1164-1169
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.155-156.1164
• Online since: February 2012
• Authors: Yu Xu, Bing Cheng Yuan, Hong Gang Zhang
• Keywords: Azimuth Tendency, Cross Spectrum, Highlight, Planar Element, Split Beam

References

[1] T. Weilin, in: Highlight model of echoes from sonar targets. Chinese Journal of Acoustics, Vol. 13, NO. 2 (1994), pp.131-140.

[2] Boo Il Kim, Hyeong Uk Lee, and Myung Ho Park, in: A study on highlight distribution for underwater simulated target. IEEE International Symposium on Industrial Electronics, Vol. 3, No. 6 (2001), p.1988-(1992).

DOI: 10.1109/isie.2001.932018

[3] J. Yongmin, F. Haihong, H. Xinya, and H. Junying, in: A Study on 2-Dimensional Highlight Distribution of Underwater Target. Chinese Journal of Acoustics, Vol. 16, NO. 4 (1997), pp.301-311.

[4] L. Chaohui, L. Zhishun, and M. Guoqiang, in: Submarine target indentification based on echo features in space domain. Ship Engineering, Vol. 26, NO. 4 (2004), pp.68-71.

[5] L. Bosheng and L. Jiayu, in, Principles of Underwater sound, Haerbin, China, (2002).

[6] F. Jun, L. Jianlu, and T. Weilin, in: Transition characteristics of echoes from complex shape targets inWater, Journal of Shanghai Jiaotong University, Vol. 36, NO. 2 (2002), pp.161-164.

[7] X. Yu, Y. Bingcheng, and Z. Honggang, in: A study on transition from near field to far field of echoes from underwater target. Advanced Materials Research, Vol. 187 (2001), pp.826-830.

DOI: 10.4028/www.scientific.net/amr.187.826

[8] L. Chengyuan, Z. Mingmin, C. Guangli, and X. Guojun, in: Improved planar element method for computing target echo. Journal of Naval University of Engineering, Vol. 20, No. 1 (2008), pp.25-29.

[9] W. B. Gordon, in: Far Field Approximations of the Kirchhoff-Helmholtz Representation of Scattered fields. IEEE Trans. on AP, Vol. 23, NO. 5 (1975), pp.864-876.