Research on the Performance of Suppressing Interference Using Double Stages Wiener Filter in Underwater Noise Measurement

An Min Ren; Lin He

doi:10.4028/www.scientific.net/AMM.530-531.544

Paper Titles

Distribution Transformer Residual Life Prediction Based on the Theory of Markov
p.526

USTC-MUSIC Algorithm for DOA Estimation of Coherent Sources Using Single Vector Hydrophone
p.530

The Study of Three-Dimensional Micro-Motion Feature Extraction of Ballistic Target Based on Netted Radar
p.534

Application of Wavelet Analysis in Denoising Seismic Data
p.540

Research on the Performance of Suppressing Interference Using Double Stages Wiener Filter in Underwater Noise Measurement
p.544

Research of Time Delay Estimation Based on Higher Order Statistics
p.550

Multi-Structural Non-Linear Data Fusion Method
p.554

Nonlinear Vibration with Volterra Series Method Used in Civil Engineering: The Bouc - Wen Hysteresis Model of Generalized Frequency Response
p.561

A Multi-View Sonar Image Fusion Method Based on Nonsubsampled Contourlet Transform and Morphological Modification
p.567

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 530-531Research on the Performance of Suppressing...

Research on the Performance of Suppressing Interference Using Double Stages Wiener Filter in Underwater Noise Measurement

Abstract:

Measured data of hydrophone array could be interfered by underwater noise,so its essential to enhance the performance of suppressing interference for adaptive array processing. How to improve the performance of Double Stages Wiener Filter was discussed based on configuration principles. The influences of interference angle, array unit number and interference-to-noise ratio (INR) to suppressing interference have been analyzed through principle analysis and simulation experiments under different circumstances, including single or multiple disturb signals. Experiments show that the performance of suppressing interference depends on interference angle and INR more and array unit sum a little.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 530-531)

Pages:

544-549

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.530-531.544

Citation:

Cite this paper

Online since:

February 2014

Authors:

An Min Ren, Lin He

Keywords:

Adaptive Array Processing, Minimum Mean Square Error, Optimal Weight Vector, Wiener Filter

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Levent M Arslan. Modified wiener filtering, J. Signal Processing, 2006, 86：267-272.

DOI: 10.1016/j.sigpro.2005.05.021

Google Scholar

[2] Zhang Xiao-Fei, Xu Kun, Xu Da-Zhuan, An improved beamforming algorithm based on generalized counteraction of side lobes, J. Journal of China Space Science and Technology. 5(2006) 6-9.

Google Scholar

[3] Goldstein J S, Reed I S, Scharf L L. A multistage representation of the wiener filter based on orthogonal projections. [J]. IEEE Transaction on Information Theory, 7 (1998)44 2943-2959.

DOI: 10.1109/18.737524

Google Scholar

[4] Ding Qian-Jun, Wang Yong-Liang, Zhang Yong-Shun. Algorithm design on multiple stage Wiener filter in adaptive array, J. Electronic and Information Transaction. 5(2006)28 936-940.

DOI: 10.1109/radar.2005.1435900

Google Scholar

[5] Huang Qing-Dong. A data preference algorithm in multiple stage Wiener filter, J. Journal of Xi'an posts and telecommunications college, J. 5(2009)14 32-35.

Google Scholar

[6] Wang Yong-Liang, Ding Qian-Jun, Li Rong-Feng. Adaptive array processing, M. Beijing: Tsinghua University Press, 2009: 73-76.

Google Scholar