TY - GEN
T1 - Flexibeam : analytic spatial filtering by beamforming
AU - Hurley, Paul
AU - Simeoni, Matthieu
PY - 2016
Y1 - 2016
N2 - ![CDATA[We propose a new, general, method for spatial filtering by beam-forming. The desired filter, specified analytically on an n-dimensional sphere, is extended to n+1-dimensional Euclidean space. A continuous beamforming function is then obtained by the n+1-dimensional Fourier transform of the extended filter. The beamforming weight at a given array element corresponds then to a sample of the function at the array element location., The scheme is a generalisation of focused beamforming on a single point by phase difference alignment. The analytic framework allows tractable, stable determination of beamforming weights, and for clear filter specification. By avoiding approximating a Dirac, desired areas can be covered with reduced side lobes. Multiple areas may be targeted simultaneously. In communications applications, channel information updates can be reduced, and movement accounted for. A WiFi demonstration shows that more flexible beam-shapes can be beneficial for real-life examples, factoring in attenuation.]]
AB - ![CDATA[We propose a new, general, method for spatial filtering by beam-forming. The desired filter, specified analytically on an n-dimensional sphere, is extended to n+1-dimensional Euclidean space. A continuous beamforming function is then obtained by the n+1-dimensional Fourier transform of the extended filter. The beamforming weight at a given array element corresponds then to a sample of the function at the array element location., The scheme is a generalisation of focused beamforming on a single point by phase difference alignment. The analytic framework allows tractable, stable determination of beamforming weights, and for clear filter specification. By avoiding approximating a Dirac, desired areas can be covered with reduced side lobes. Multiple areas may be targeted simultaneously. In communications applications, channel information updates can be reduced, and movement accounted for. A WiFi demonstration shows that more flexible beam-shapes can be beneficial for real-life examples, factoring in attenuation.]]
KW - beamforming
KW - nondestructive testing
KW - signal processing
KW - ultrasonic testing
UR - http://handle.westernsydney.edu.au:8081/1959.7/uws:52678
U2 - 10.1109/ICASSP.2016.7472203
DO - 10.1109/ICASSP.2016.7472203
M3 - Conference Paper
SN - 9781479999880
SP - 2877
EP - 2880
BT - Proceedings 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, March 20-25, 2016, Shanghai, China
PB - IEEE
T2 - ICASSP (Conference)
Y2 - 15 April 2018
ER -