DocumentCode :
1710175
Title :
High speed sound source detection based on ADFSD measurement
Author :
Pourmohammad, Ali
Author_Institution :
Electr. Eng. Dept., Amirkabir Univ. of Technol., Tehran, Iran
fYear :
2013
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, a detection of semi-unknown high speed moving sound sources technique using only a single microphone in a real environment is proposed. Doppler processing techniques in cooperation with an array of high sensitive and high performance (expensive) microphones are commonly used techniques to detection, identification (classification) and various moving parameters estimation of a known moving sound source as high speed automobiles in a highway and low flying aircrafts. In this paper, it is shown that these techniques are applicable using only one microphone for detecting of a semi-unknown high speed moving sound source except the times that the source moves straightway (straightly toward) or straightaway (straightly away) from the microphone. Therefore, the Acoustic Doppler Frequency Shift Difference (ADFSD) is measured between the consecutive acoustic data frames of the moving sound source which are acquired by means of a single microphone. The simulation results on the truth data which were gathered in an airport, confirm this claim.
Keywords :
Doppler shift; acoustic signal detection; acoustic signal processing; microphone arrays; parameter estimation; ADFSD measurement; Doppler processing techniques; acoustic Doppler frequency shift difference measurement; airport; consecutive acoustic data frames; high performance microphones array; high speed automobiles; high speed sound source detection; low flying aircrafts; moving parameter estimation; semiunknown high speed moving sound sources technique; single microphone array; Acoustics; Aircraft; Arrays; Doppler effect; Equations; Feature extraction; Microphones; Acoustic Doppler Frequency Shift Difference; Acoustic signals detection; High Speed Automobiles; LowFlying Aircrafts;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information, Communications and Signal Processing (ICICS) 2013 9th International Conference on
Conference_Location :
Tainan
Print_ISBN :
978-1-4799-0433-4
Type :
conf
DOI :
10.1109/ICICS.2013.6782771
Filename :
6782771
Link To Document :
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