Abstract
The chapter presents a detection rule for multistatic reception of the non-stationary random Wiener acoustic signal. The rule is obtained using the maximum likelihood approach. In the chapter, the localization is carried out using time difference of arrival estimates from multistatic receiving positions. It enables simultaneous processing of the frequency bandwidth, which is close to human hearing range. The approach is promising in detection and localization enhancement. The chapter shows an experimental result on the localization of a source with a fractional bandwidth of emission equal to 2. The localization is provided in range—cross range—elevation coordinates. The proposed technique is suitable in acoustic emitters’ detection and localization for non-destructive testing. Particular applications concern testing of an aircraft’s landing regime and health monitoring of its engines at landing/take off.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
PULSE Array-based Noise Source Identification Solutions: Beamforming—Type 8608, Acoustic Holography—Type 8607, Spherical Beamforming—Type 8606. In: Brüel & Kjaer Product Data, 12 p. Brüel & Kjær Sound and Vibration Measurement A/S, Naerum (2009)
Christensen, J.J., Hald, J.: Beamforming. In: Zaveri, H.K. (ed.) Brüel & Kjær Technical Review, No. 1, pp. 1–48. Brüel & Kjær Sound and Vibration Measurement A/S, Naerum (2004)
Hald, J., Ishii, Y., Ishii, T., Oinuma, H., Nagai, K., Yokoyama, Y., Yamamoto, K.: High-resolution Fly-over beamforming using a small practical array. In: Zaveri, H.K. (ed.): Brüel & Kjaer Technical Review, No. 1, pp. 1–28. Brüel & Kjær Sound and Vibration Measurement A/S, Naerum (2012)
Khardi, S.: An experimental analysis of frequency emission and noise diagnosis of commercial aircraft on approach. J. Acoust. Emiss. 26, 290–310 (2008)
Li, J., Stoica, P. (eds.) Robust Adaptive Beamforming, 440 pp. Wiley, Hoboken 2006
Kondratyev, N.L. (ed.) Zvukometricheskaya stanciya SChZ-6. Rukovodstvo sluzhbi, Moscow: Voennoe Izdat el’stvo Ministerstva oboroni SSR, 151 pp (1958) (in Russian)
Fernández Comesaña, D., Jansen, E., Rollán Seco, Y., Elias de Bree, H.: Acoustic multi-mission sensor (AMMS) system for illegal firework localization in an urban environment, 21-st International Congress on Sound and Vibration (ICSV 21), 7 pp (2014)
Wentzell, A.D.: Course of the theory of random processes (in Russian). Moscow, Science (1996)
Levin, B.R.: Theoretical Basics of Statistical Radio Engineering, vol. 1 (in Russian). Moscow, Soviet Radio (1969)
Rozov, A.K.: Detection of Signals in Non-stationary Hydroacoustic Conditions (in Russian). Leningrad, Shipbuilding (1987)
Gusev, V.G.: Systems for space-time processing of hydroacoustic information (in Russian). Leningrad, Shipbuilding (1988)
Shirman, Y.D., Bagdasaryan, S.T., Malyarenko, A.S., Lekhovytskiy, D.I., Leschenko, S.P., Losev, Y.I., Nikolayev, A.I., Gorshkov, S.A., Moskvitin, S.V., Orlenko, V.M., Shirman, Y.D. (ed.): Radio Electronic Systems: Fundamentals of Theory and Design. Handbook. 2nd edn., revised and expanded (in Russian). Moscow, Radio Engineering (2007)
Barton, D.K., Leonov, S.A. (eds.) Radar Technology Encyclopedia (Electronic Edition), 511 pp. Artech House Inc., Boston (1998)
Acknowledgments
The research work reported in the chapter was partly supported by the Project AComIn “Advanced Computing for Innovation”, grant 316087, funded by the FP7 Capacity Programme (Research Potential of Convergence Regions).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Kudriashov, V. (2016). Multistatic Reception of Non-stationary Random Wiener Acoustic Signal. In: Margenov, S., Angelova, G., Agre, G. (eds) Innovative Approaches and Solutions in Advanced Intelligent Systems . Studies in Computational Intelligence, vol 648. Springer, Cham. https://doi.org/10.1007/978-3-319-32207-0_16
Download citation
DOI: https://doi.org/10.1007/978-3-319-32207-0_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-32206-3
Online ISBN: 978-3-319-32207-0
eBook Packages: EngineeringEngineering (R0)