The Performance of Kolmogorov–Smirnov Statistic in Noise Identification

Ying Chao Ma; Yan Ping Gao; Yu Han

doi:10.4028/www.scientific.net/AMR.422.342

Paper Titles

Study on Control System of Real-Time Interactive Movement of Three-Dimensional Solid Model
p.322

A Feature-Based Approach to Path Planning for in-Process Probing Operations in STEP-Compliant NC Manufacture
p.326

Design of High-Pressure Waterjet Descaling Nozzles Testing System with LabVIEW
p.333

Study on Plasticity Shaped Technics of Speed-Down Gears of New Type Tractor
p.338

The Performance of Kolmogorov–Smirnov Statistic in Noise Identification
p.342

The De-Noising Algorithm Based on Intrinsic Time-Scale Decomposition
p.347

Study of the Parametric Design and Experiment of a Single Unit Integrated Laser Photo-Interrupter
p.353

Transformation of System Action for Reconfigurable Automation Work System
p.359

The Temperature Field Finite Element Analysis and Simulation of One Kind of Magnetic Agitation System
p.365

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 422The Performance of Kolmogorov–Smirnov Statistic in...

The Performance of Kolmogorov–Smirnov Statistic in Noise Identification

Abstract:

Noise identification is one of the most important issues in radar and sonar engineering, in which Kolmogorov–Smirnov (KS) statistic is widely adopted. Although KS statistic is the most reliable method till now, it does not have high precision as people believe. The performance of KS statistic is studied in this work, while an experiment is carried out to show the precision of KS statistic, including both test and recognition. The result could help researchers decreasing error of using KS statistic in the future.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 422)

Pages:

342-346

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.422.342

Citation:

Cite this paper

Online since:

December 2011

Authors:

Ying Chao Ma, Yan Ping Gao, Yu Han

Keywords:

Kolmogorov–Smirnov Statistic, KS Test, Noise Recognition, Sonar Noise

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] A. D. Waite, Sonar for Practicing Engineers, 3rd Ed. New York: Wiley, 2001, p.120–124.

Google Scholar

[2] E. Jakeman and P. N. Pusey, IEEE Trans. Antennas Propag. Vol. 24, (1976), p.806–814

Google Scholar

[3] R.Bare, D.Evans and S.Long, IEEE Journal Of Oceanic Engineering, Vol. 35 (2010), pp.230-235

Google Scholar

[4] Massey, F.J., Journal of the American Statistical Association, Vol. 46 (1951), pp.68-78.

Google Scholar

[5] Marsaglia, G., W. Tsang, and J. Wang, Journal of Statistical Software, Vol 8 (2003), pp.1-4

Google Scholar

[6] A.Clauset, C.R. Shalizi, M.E.J. Newman, SIAM Review, Vol 51 (2009), pp.661-703.

Google Scholar

[7] Coles, Stuart, An Introduction to Statistical Modeling of Extreme Values, Springer-Verlag. 2001.

Google Scholar