Detection of Point Sound Source Using Beamforming Technique in Complex Environments
Open Access
- 1 January 2018
- journal article
- research article
- Published by Scientific Research Publishing, Inc. in Open Journal of Acoustics
- Vol. 08 (02), 23-35
- https://doi.org/10.4236/oja.2018.82003
Abstract
Detection and localization of acoustic events in an environment are important to protect the military and civilian installations. While there are finite paths of wave propagation in simple or low reverberant environments, in complex environments (e.g. a complex urban environment) obstacles such as terrain or buildings introduce multipath propagations, reflections and diffractions which make source localization challenging. Therefore, numeric results of simulated models (simplified and Fort Benning urban models) of 3D complex environments can highly help in real applications. Some of the conventional beamformer algorithms have been used in order to localize point sound source. Analyzing results shows that MRCB beamformer has better performance than others in this issue and its accuracy superiority is more than 3 m in simplified urban model and 5 m in Fort Benning urban model with respect to the SOC. Moreover, due to possible uncertainties between the numerical model and the actual environment such as squall effect, temperature gradient etc., sensitivity of the beamformers to temperature gradient is investigated which shows higher robustness of SOC beamformer than the MRCB beamformer. According to the results, due to gradient temperature uncertainty the accuracy degradation of the SOC is about 1m while in MRCB it alters from 0.5 m to 20 m approximately at all SNRs. COMSOL Multiphysics has been used to numerically simulate the environment of wave propagation.Keywords
This publication has 29 references indexed in Scilit:
- A robust minimum variance beamformer with new constraint on uncertainty of steering vectorSignal Processing, 2006
- Adaptive Beamforming With Joint Robustness Against Mismatched Signal Steering Vector and Interference NonstationarityIEEE Signal Processing Letters, 2004
- Robust adaptive beamforming using worst-case performance optimization: a solution to the signal mismatch problemIEEE Transactions on Signal Processing, 2003
- Real-time passive source localization: a practical linear-correction least-squares approachIEEE Transactions on Speech and Audio Processing, 2001
- Frontmatter and IndexPublished by Wiley ,2000
- Role of spectral cues in median plane localizationThe Journal of the Acoustical Society of America, 1990
- Robust adaptive beamformingIEEE Transactions on Acoustics, Speech, and Signal Processing, 1987
- Optimal source localization and tracking from passive array measurementsIEEE Transactions on Acoustics, Speech, and Signal Processing, 1982
- Time delay estimation for passive sonar signal processingIEEE Transactions on Acoustics, Speech, and Signal Processing, 1981
- Optimum signal processing for passive sonar range and bearing estimationThe Journal of the Acoustical Society of America, 1975