DocumentCode :
643798
Title :
Efficient design of nearfield focused beamformer with frequency invariant patterns for vertical line array
Author :
Peng Hou ; Chunyan Xia ; Wenshuai Liu
Author_Institution :
Dalian Sci. Test & Control Technol. Inst., Dalian, China
fYear :
2013
fDate :
5-8 Aug. 2013
Firstpage :
1
Lastpage :
5
Abstract :
This paper proposes an efficient design method of nearfield focused beamformer with frequency invariant patterns for underwater radiated noise measurement, where the impinging of the wideband radiated source on the acoustic array is restricted by the angular and range conditions of the Fresnel approximation. With the Fresnel approximation, the received signal can be first amplitude-compensated and phase-shifted according to the signal attenuation and the wave curvature before the beamforming operation, and then the problem of nearfield wideband beamforming can be readily transformed to a corresponding farfield issue, and the well-established farfield design method of frequency invariant beamformers (FIBs) can be used. Representative example is presented to demonstrate the reduced design complexity and the encouraging beamforming performance under nearfield condition.
Keywords :
acoustic noise measurement; acoustic signal processing; array signal processing; Fresnel approximation; acoustic array; angular conditions; beamforming operation; beamforming performance; design complexity; efficient design method; frequency invariant beamformers; frequency invariant patterns; nearfield condition; nearfield focused beamformer design; nearfield wideband beamforming problem; range conditions; signal attenuation; underwater radiated noise measurement; vertical line array; wave curvature; wideband radiated source; Approximation methods; Array signal processing; Arrays; Delays; Noise measurement; Sensors; Wideband; Fresnel approximation; Nearfield focused beamforming; frequency invariant beamformer (FIB); radiated-noise measurement; vertical line array;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, Communication and Computing (ICSPCC), 2013 IEEE International Conference on
Conference_Location :
KunMing
Type :
conf
DOI :
10.1109/ICSPCC.2013.6664118
Filename :
6664118
Link To Document :
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