Abstract
Although there are ground based localization solutions for Small Arms Fire (SAF) attacks, there are only a few implementations of onboard applications. A simple Acoustic Source Localization (ASL) application employs a microphone array for collecting audio signals, so as to locate sound sources using the measurements from the sound field. The aim of this study is to investigate the possibility of Acoustic Gunshot Localization on a helicopter so as to detect and localize SAF attacks, by simulating the effects of both wave propagation and signal processing parameters for different localization algorithms. Three widely known source localization algorithms, Beamforming, Generalized Cross Correlation and Multiple Signal Classification, were deployed, while proposing pre-processing and post-processing methods, considering domain specific issues, such as the effects of helicopter noise, environmental factors, gunshot signal characteristics and real-life mission requirements. Moreover, a simulation environment was developed, which is capable of manipulating both the algorithm related parameters and the outdoor wave propagation related factors. It was observed that by applying the environmental distortions with the sound field simulator of this study, the localization performances were reduced, resulting in more realistic conclusions and comparisons. This way, both the performance of the proposed processing methods and the effects of parameters that affect gunshot localization on helicopters were reported.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Fertig, L., Young, R., Nance, D.: Hybrid cramer-rao lower bound for sniper localization via a helicopter-based acoustic array. In: 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), Pacific Grove, CA , pp. 862–866 (2012)
Bandi, A.K., Rizkalla, M., Salama, P.: A novel approach for the detection of gunshot events using sound source localization techniques. In: 2012 IEEE 55th Int. Midwest Symp. on Circuits and Systems (MWSCAS), Boise, ID, USA, pp. 494–497 (2012)
Freire, I.L., Apolinario, J.A.: DoA of gunshot signals in a spatial microphone array: performance of the interpolated generalized cross-correlation method. Argentine Sch. Micro-Nanoelectronics Technol. Appl. (EAMTA) 2011, 1–6 (2011)
Sallai, J., Volgyesi, P., Pence, K., Ledeczi, A.: Fusing distributed muzzle blast and shockwave detections. In: 2011 Proceedings of the 14th International Conference on Information Fusion (FUSION), Chicago, IL, pp. 1–8 (2013)
True, H.C., Rickley, E.J.: Noise Characteristics of Eight Helicopters Report No FAA-RD-77–94, Federal Aviation Association, Springfield, Virginia (1977)
Serrenho, F.G., Apolinário, J.A., Ramos, A.L.L., Fernandes, R.P.: Gunshot airborne surveillance with rotary wing UAV-embedded microphone array. Sensors 19(19), 4271 (2019)
Sinibaldi, G., Marino, L.: Experimental analysis on the noise of propellers for small UAV. Appl. Acoust. 74(1), 79–88 (2013)
Hughes, F., Robinson, H.: Component Noise Variables of a Light Observation Helicopter NASA-CR-114761, Culver City, California (1973)
Maher, R.C.: Modeling and signal processing of acoustic gunshot recordings. In: 2006 IEEE 12th Digital Signal Processing Workshop & 4th IEEE Signal Processing Education Workshop. IEEE (2006)
Bronuzzia, F., Monaib, L., Patrucccob, M.: Correct and effective characterization of fire-arms noise: a basic aspect to provide reliable input data for the reduction of emitted noise from shooting ranges in Urbanized area. Chem. Eng. 26, 507–512 (2012)
Harris, C.M.: Absorption of sound in air versus humidity and temperature. J. Acoustical Soc. Am. 40, 148–159 (1966)
Standardization, IOf. Attenuation of sound during propagation outdoors–part 2: general method of calculation (1996)
Son, E., Seungmin, L., Soogab, L.: Helicopter noise propagation characteristics in the refracting atmospheric conditions. In: Presented at the 20th International Congress on Acoustics (2010)
Arntzen, M., et al.: A framework for simulation of aircraft flyover noise through a non-standard atmosphere. In: The 18th AIAA/CEAS Aeroacoustics Conference, 2012, pp. AIAA–2012–2079 (2012)
Miljković, D.: Methods for attenuation of unmanned aerial vehicle noise. In: 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), pp. 0914–0919. IEEE (2018)
Maher, R.C., Shaw, S.R.: “Deciphering gunshot recordings” presented at the Audio Engineering Society Conference: 33rd International Conference: Audio Forensics-Theory and Practice. Audio Engineering Society, Denver, CO (2008)
Aravindakshan, B., Aravind, A., Vyawahare, M.: Analysis of on-ground and in-flight sound levels produced by Chetak and Pratap helicopters. Indian J. Aerospace Med. 46, 51–61 (2002)
Sujatha, J.: Vibration and Acoustics: Measurement and Signal Analysis. Tata McGraw Hill (2010)
Wagner, R.A.: Noise levels of operational helicopters of the OH-6 type designed to meet the LOH mission. Acoustic properties for various helicopter configurations (1973)
Maher, R.C.: Acoustical characterization of gunshots. In: Signal Processing Applications for Public Security and Forensics, 2007 SAFE 2007, Washington, DC, pp. 1–5, April 2007
Beck, S.D., Nakasone, H., Marr, K.W.: An introduction to forensic gunshot acoustics. In: Presented at the 162nd Meeting of the Acoustical Society of America, San Diego, California, October 2011
Ramos, A.L.L., Holm, S., Gudvangen, S., Otterlei, R.: A spectral subtraction based algorithm for real-time noise cancellation with application to gunshot acoustics. Int. J. Electron. Telecommun. 59(1), 93–98 (2013)
Suman, P., Karan, S., Singh, V., Maringanti, R.: Algorithm for gunshot detection using mel-frequency cepstrum coefficients (MFCC). In: Proceedings of Ninth International Conference on Wireless Communication and Sensor Networks, pp. 155–166. Springer, New Delhi (2014)
Chacón-Rodríguez, A., Julián, P., Castro, L., Alvarado, P., Hernández, N.: Evaluation of gunshot detection algorithms. IEEE Trans. Circuits Syst. I Regul. Pap. 58(2), 363–373 (2011)
Boll, S.: Suppression of acoustic noise in speech using spectral subtraction. IEEE Trans. Acoust. Speech Signal Process. 27(2), 113–120 (1979)
Piercy, J.E., Embleton, T.F.W., Sutherland, L.C.: Review of noise propagation in the atmosphere. In: Lara Saenz, A., Stephens, R.W.B. (Eds.) Noise Pollution. John Wiley & Sons Ltd., pp. 95–132 (1986)
Knapp, C.H., Carter, G.C.: The generalized correlation method for estimation of time delay. IEEE Trans. Acoust. Speech Signal Process. 24(4), 320–327 (1976)
Mirabilii, D., Habets, E.A.: Spatial coherence-aware multi-channel wind noise reduction. IEEE/ACM Trans. Audio, Speech, Lang. Process. 28, 1974–1987 (2020)
Walker, K.T., Michael, A.H.H.: A review of wind-noise reduction methodologies. In: Infrasound Monitoring for Atmospheric Studies. Springer, Netherlands, pp. 141–182 (2010)
Schmidt, R.: Multiple emitter location and signal parameter estimation. IEEE Trans. Antennas Propag. 34(3), 276–280 (1986)
Hoshiba, K., et al.: Design of UAV-embedded microphone array system for sound source localization in outdoor environments. Sensors, 17(11), 2535 (2017)
Lagö, T.L., Sven, J., Per-Anders, H.: Analysis of helicopter sound for the development of a new generation active headset. In: Proceedings of the 14th International Modal Analysis Conference: IMAC (1997)
Yilmaz, M.: A Comprehensive Simulation of Factors that Affect Performance of Array Based Acoustic Gunshot Localization on Helicopters. Middle East Technical University, Ankara, Turkey (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Yılmaz, M., Kılıç, B.G. (2022). Evaluation of Acoustic Gunshot Localization Methods on Helicopters with Environmental Sound Simulations. In: Silhavy, R. (eds) Cybernetics Perspectives in Systems. CSOC 2022. Lecture Notes in Networks and Systems, vol 503. Springer, Cham. https://doi.org/10.1007/978-3-031-09073-8_32
Download citation
DOI: https://doi.org/10.1007/978-3-031-09073-8_32
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-09072-1
Online ISBN: 978-3-031-09073-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)