Sonar pulse detection using chirp rate estimation and CFAR algorithms

• Autorzy: Abratkiewicz K.
• Języki publikacji: EN

Abstrakty

EN

This paper presents a new approach to sonar pulse detection. The method uses chirp rate estimators and algorithms for the adaptive threshold, commonly used in radiolocation. The proposed approach allows detection of pulses of unknown parameters, which may be used in passive hydrolocation or jamming detection in underwater communication. Such an analysis is possible thanks to a new kind of imaging, which presents signal energy in the function of chirp rate. The proposed method relies on chirp rate estimation of the received signal, and the calculation of the local threshold level depends on noise and reverberations which make detection of a particular type of signal possible.

Słowa kluczowe

EN

electronic warfare; signal features; signal detection

• Wydawca: Polskie Towarzystwo Akustyczne. Oddział Gdański
• Czasopismo: Hydroacoustics
• Rocznik: 2017
• Tom: Vol. 20
• Strony: 7--12
• Opis fizyczny: Bibliogr. 16 poz., rys., tab.

Twórcy

autor

Abratkiewicz K.

• Gdansk University of Technology, Faculty of Electronics, Telecommunications and Informatics G.Narutowicza 11/12, 80-980 Gdansk, Poland

Bibliografia

• [1] J. Liang, K.M. Wong, Detection of Narrow-Band Sonar Signal on a Riemannian Manifold, 2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE), pp. 959-964.
• [2] R.W. Mill, G.J. Brown, Auditory-inspired Interval Statistic Receivers for Passive Sonar Signal Detection, OCEANS 2007 - Europe, pp. 1-6.
• [3] K. Ugrinovic, O. Ponic, An outline of the passive sonar signal detection, Proceedings. Elmar-2004. 46th International Symposium on Electronics in Marine, pp. 247-251.
• [4] M.K. Ward, M. Stevenson, Sonar Signal Detection and Classification using Artificial Neural Networks, 2000 Canadian Conference on Electrical and Computer Engineering, vol. 2 pp. 717-721.
• [5] K. Czarnecki, The instantaneous frequency rate spectrogram, Mechanical Systems and Signal Processing, vol.66-67, pp. 361-373, 2016.
• [6] A.E. Barnes, The calculation of instantaneous frequency and instantaneous bandwidth, Geophysics, vol. 57, no. 11, pp. 1520-1524. 1992.
• [7] D. Fourer, F. Auger, K. Czarnecki, S. Meignen, P. Flandrin, Chirp rate and instantaneous frequency estimation: application to recursive vertical synchrosqueezing, IEEE Signal Processing Letters, vol. 24, no. 11, pp. 1724-1728, 2017.
• [8] F. Auger, K. Czarnecki, D. Fourer, ccROJ - Time-Frequency C++ Framework, SoftwareX, 2017. Project webpage: https://github.com/dsp-box/ccROJ.
• [9] L. Anitori, M. Otten, A. Maleki, Compressive CFAR Radar Detection, 2012 IEEE Radar Conference, pp. 320-325.
• [10] P.P. Gandhi, S.A. Kassam, Analysis of CFAR Processors in Nonhomogeneous Background, IEEE Transactions On Aerospace And Electronic Systems, vol. 24, no. 4, 1988.
• [11] M. Barkat, S. Dib, CFAR detection for two correlated targets, Signal Processing, vol. 61, no. 3, pp. 289-295, 1997.
• [12] Y. Sun, M. Farooq, T.K. Robb, Adaptive CFAR active sonar signal thresholding using radial basis functional neural networks, Proceedings of the 36th IEEE Conference on Decision and Control, vol. 3, pp. 2193-2198, 1997.
• [13] B. Kalyan, A. Balasuriya, Sonar based automatic target detection scheme for underwater environments using CFAR techniques: a comparative study, Proceedings of the 2004 International Symposium on Underwater Technology, pp. 33-37.
• [14] V. Anastassopoulos, G. Lampropoulos, A New and Robust CFAR Detection Algorithm, IEEE Transactions on Aerospace and Electronic Systems, vol. 28, no. 2, pp. 420-427, 1992
• [15] H. Dai, L Du, Y. Wang, A Modified CFAR Algorithm Based on Object Proposals for Ship Target Detection in SAR Images, IEEE Geoscience and Remote Sensing Letters vol. 13, no. 12, pp. 1925-1929, 2016.
• [16] G.G. Acosta, S.A. Villar, Accumulated CA-CFAR Process in 2-D for Online Object Detection From Sidescan Sonar Data, IEEE Journal of Oceanic Engineering vol. 40, no. 3, pp. 558-569, 2015.

Uwagi

PL

Opracowanie w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).