TY - GEN
T1 - White noise reduction for wideband beamforming based on uniform rectangular arrays
AU - Anbiyaei, Mohammad Reza
AU - Liu, Wei
AU - McLernon, Des C.
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/11
Y1 - 2017/11
N2 - Two methods are proposed for reducing the effect of white noise in wideband uniform rectangular arrays via a combination of judiciously designed transformations followed by a series of highpass filters. The reduced noise level leads to a higher signal to noise ratio for the system, which in turn results in a clear improvement on the performance of various beamforming applications. As a representative example, the reference signal based (RSB) and the linearly constrained minimum variance (LCMV) beamformers are employed here to demonstrate the improved performance, which is also confirmed by simulations.
AB - Two methods are proposed for reducing the effect of white noise in wideband uniform rectangular arrays via a combination of judiciously designed transformations followed by a series of highpass filters. The reduced noise level leads to a higher signal to noise ratio for the system, which in turn results in a clear improvement on the performance of various beamforming applications. As a representative example, the reference signal based (RSB) and the linearly constrained minimum variance (LCMV) beamformers are employed here to demonstrate the improved performance, which is also confirmed by simulations.
UR - http://www.scopus.com/inward/record.url?scp=85040349455&partnerID=8YFLogxK
U2 - 10.1109/ICDSP.2017.8096093
DO - 10.1109/ICDSP.2017.8096093
M3 - Conference article published in proceeding or book
AN - SCOPUS:85040349455
T3 - International Conference on Digital Signal Processing, DSP
BT - 2017 22nd International Conference on Digital Signal Processing, DSP 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 22nd International Conference on Digital Signal Processing, DSP 2017
Y2 - 23 August 2017 through 25 August 2017
ER -