Performance Improvement for Wideband Beamforming with White Noise Reduction Based on Sparse Arrays
Anbiyaei, MR, Liu, W and McLernon, DC
(2017)
Performance Improvement for Wideband Beamforming with White Noise Reduction Based on Sparse Arrays.
In:
2017 25th European Signal Processing Conference (EUSIPCO).
25th European Signal Processing Conference (EUSIPCO), 28 Aug - 02 Sep 2017, Kos, Greece.
IEEE
, pp. 2433-2437.
ISBN 978-0-9928626-7-1
Abstract
A method is proposed for reducing the effect of white noise in wideband sparse arrays via a combination of a judiciously designed transformation followed by highpass filters. The reduced noise level leads to a higher signal to noise ratio for the system, which can have a significant effect on the performance of various beamforming methods. As a representative example, the reference signal based (RSB) and the Linearly Constrained Minimum Variance (LCMV) beamformers are employed here to demonstrate the improved beamforming performance, as confirmed by simulation results.
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