Home   >   CSC-OpenAccess Library   >    Manuscript Information
Marine Vehicle Spectrum Signature Detection Based On An Adaptive CFAR and Multi-Frame Fusion Algorithms
Dahai Cheng
Pages - 19 - 46     |    Revised - 31-03-2018     |    Published - 30-04-2018
Volume - 12   Issue - 1    |    Publication Date - April 2018  Table of Contents
Target Spectrum Signature Detection, Multi-frame Acoustic Signal Processing, Time-Frequency Domain, Adaptive Constant False Alarm Rate (ACFAR).
Detecting marine vehicle spectrum signature from hydrophone at low false alarm rate and high detection rate in an environment of various interference is a very difficult problem. To overcome this problem, an observation space is created by sampling and dividing input analog acoustic signal into digital signal in multiple frames and each frame is transformed into the frequency domain; then an Adaptive Constant False Alarm Rate (ACFAR) and Post Detection Fusion algorithms have been proposed for an effective automatic detection of marine vehicle generated acoustic signal spectrum signature. The proposed algorithms have been tested on several real acoustic signals. The statistical analysis and experimental results showed that the proposed algorithm has kept a very low false alarm rate and extremely high detection rate.
1 Google Scholar 
2 BibSonomy 
3 Doc Player 
4 Scribd 
5 SlideShare 
A. D. Waite, "Sonar for Practising Engineers", John Willey & Sons, LTD.
A. D. Whalen, "Detection of Signals in Noise". New York, Academic, 1971, pp. 231-235.
Advances in Acoustics and Vibration, Volume 2011 (2011), Article ID 952798, 13 pages, http://dx.doi.org/10.1155/2011/952798.
Burdic, W. S., 1984, "Underwater Acoustic System Analysis", Prentice-Hall, Englewood Clissf, NJ.
Chan, Y. T., "Underwater Acoustic Data Processing", NATO ASI Series, Kluwer Academic Publishers.
Charles W. Therrien, "Discrete Random Signals and Statistical Signal Processing", Prentice Hall, Englewood Cliffs, NJ 07632.
David C. Swanson, "Signal Processing for Intelligent Sensor Systems", Marcel Dekker. Inc.
Eric D. Cheng, Massimo Piccardi and Tony Jan, "Stochastic Boat-Generated Acoustic Target Signal Detection in Time-Frequency Domain" IEEE International Symposium on Signal Processing and Information Technology (ISSPIT'04), Rome, Italy, December, 2004.
Eric Dahai Cheng, Massimo Piccardi and Tony Jan, "Boat-Generated Acoustic Target Signal Detection by Use Of An Adaptive Median CFAR and Multi-Frame Integration Algorithm", The 2005 European Signal Processing Conference (EUSIPCO-2005), September 4-8, Antalya, Turkey.
Eric Dahai Cheng, Subhash Challa, Xuanchen Tang and Xiaohu Liu, "Non-Cooperative Object Detection in Sea Using Acoustic Sensors" accepted by the Digital Image Computing: Techniques and Applications, 1-3 December 2010, Sydney, Australia. (DICTA 2010), pp294-310.
Etter, P. C. (1992). Underwater Acoustic Modeling: Principles, Techniques and Applications. New York, Elsevier.
F. S. Zhang, D. Feng, "Fusion and extraction of modulation feature from ship radiated-noise based on wavelet packet and ZFFT", Electronics World, vol. 14, no. 2, pp. 105-106, 2014.
G. Q. Wu, "Ship radiated-noise recognition (I) the overall framework analysis and extraction of line-spectrum", Acta Acoustica, vol. 23, no. 5, pp. 394-400, 1998.
H. L.Van Trees, "Detection, Estimation and Modulation Theory". Part I. New York, Wily, 1968, pp. 68-85.
H. M. Finn and R. S. Johnson, "Adaptive Detection Mode with Threshold Control as a Function of Spatially Sampled Clutter Level Estimates", RCA Review, Vol. 29, No. 3, pp. 414, September 1968.
Hamed Komari Alaie, and Hassan Farsi, "Passive Sonar Target Detection Using Statistical Classifier and Adaptive Threshold", Appl. Sci. 2018, 8(1), 61; doi:10.3390/app8010061.
Henry Stark, John W. Woods, "Probability and random process with applications to signal processing", Prentice Hall, 3rd edition, 2001.
I.G. Prokopenko, F.J. Yanovsky, L.P. Ligthart, "Adaptive Algorithms for Weather Radar", Proceedings of the European Radar Conference (EuRAD 2004), pp. 329-332, 2004.
J. X. Qiu, L. Zheng, Y. C. Wang, "Research on ship-radiated noise beat tune", Technical Acoustics, vol. 33, no. 4, pp. 322-325, 2014.
Levanon, N., Shor, M., "Order Statistic CFAR for Weibull Background", IEE Proceeding, Vol. 137, No. 3, June 1990, pp. 157-162.
Lurton, X. (2002). An Introduction to Underwater Acoustics: Principles and Applications. Chichester, UK, Springer/Praxis.
M. D. Srinach, P. K. Rajasekaran and R. Viswanathan, "Introduction to statistical signal processing with applications", Prentice Hall, Englewood Cliff, New Jersey.
Merrill I, Skolnik, "Introduction to Radar Systems". McGraw-Hill Book Company, 1980.
Nielson, R. O. (1991). Sonar Signal Processing. Norwood, MA, Artech House.
Peng H.C., Long F., and Ding C., Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, No. 8, pp. 1226-1238 (2005).
R. Cucchiara, C. Grana, M. Piccardi, and A. Prati, "Statistic and Knowledge-baseeticd Moving Object Detection in Traffic Scenes", in Proc. of ITSC-2000 - The 3rd Annual IEEE Conference on Intelligent Transportation Systems, Oct. 1-5, 2000, Dearborn, MI, USA, pp. 27-32.
R. O. Nielsen, "Sonar Signal Analysis". Boston, MA, Artech House, 1991, pp. 123-128.
Richard O. Nielsen, "Sonar Signal Processing", Artech House.
Ritcey, J. A., "Performance Analysis of the Censored Mean-Level Detector", IEEE Transactions on Aerospace and Electronic System, Vol. AES-22, No. 6, July 1986, pp. 443-453.
Robinson, A. R. and D. Lee, Eds. (1994). Oceanography and Acoustics Prediction and Propagation Models. Modern Acoustics and Signal Processing. Woodbury, NY, AIP Press.
Roholing, H., "Radar CFAR Thresholding in Clutter and Multiple Target Situations", IEEE Transactions on Aerospace and Electronic System, Vol. AES-19, No. 4, July 1983, pp. 608-621.
Roholing, H., "Radar CFAR Thresholding in Clutter and Multiple Target Situations", IEEE Transactions on Aerospace and Electronic System, Vol. AES-19, No. 4, July 1983, pp. 608-621.
S. Lawrence Marple Jr., "Digital Spectral Analysis with Applications". Prentice Hall, Inc., 1987.
S. Wang, J. X. Qiu, S. J. Wang, "Enhancement of ship radiated noise DEMON spectrum SNR based on correlation properties theory of principles of system_dynamics", Ship Science and Technology, vol. 35, no. 8, pp. 24-27, 2013.
Stergios Stergiopoulos, "Advanced Signal Processing Handbook", CRC Press.
Todd K. Moon and Wynn C. Stirling, "Mathematical Methods and Algorithms for Signal Processing", Prentice-Hall,Upper Saddle River, NJ 07458.
Urick, R. J. (1983). Principles of Underwater Sound. New York, McGraw-Hill Book Company.
Vera P. Behar, "Adaptive CFAR PI Processor for Radar Target Detection in Pulse Jamming", Journal of VLSI Signal Processing Vol. 26, pp. 383-396, 2000.
X. W. Luo, S. L. Fang, "Feature extraction from non-stationary amplitude modulated broad-band signal using the Hilbert-Huang transform", Signal Processing, vol. 27, no. 6, pp. 950-955, 2011.
Xueyao Li; Fuping Zhu; Harbin Eng. and Harbin University, Application of the zero-crossing rate, LOFAR spectrum and wavelet to the feature extraction of passive sonar signals, Proceedings of the 3rd World Congress on Intelligent Control and Automation, 2000., vol.4, pp. 2461-2463 (2000).
Y. S. Cheng, X. Gao, H. Liu, "A method for ship propeller blade-number recognition based on template matching", TechnicaI Acoustic, vol. 29, no. 2, pp. 228-231, 2010.
Y. S. Cheng, Y. C. Wang, "DEMON analysis of underwater target radiation noise based on modern signal processing", Technical Acoustics, vol. 25, no. 1, pp. 71-74, 2006.
Professor Dahai Cheng
School of Electric and Automatic Engineering, Changshu Institute of Technology - China