Title
Window-Based Constant Beamwidth Beamformer.
Abstract
Beamformers have been widely used to enhance signals from a desired direction and suppress noise and interfering signals from other directions. Constant beamwidth beamformers enable a fixed beamwidth over a wide range of frequencies. Most of the existing approaches to design constant beamwidth beamformers are based on optimization algorithms with high computational complexity and are often sensitive to microphone mismatches. Other existing methods are based on adjusting the number of sensors according to the frequency, which simplify the design, but cannot control the sidelobe level. Here, we propose a window-based technique to attain the beamwidth constancy, in which different shapes of standard window functions are applied for different frequency bins as the real weighting coefficients of microphones. Thereby, not only do we keep the beamwidth constant, but we also control the sidelobe level. Simulation results show the advantages of our method compared with existing methods, including lower sidelobe level, higher directivity factor, and higher white noise gain.
Year
DOI
Venue
2019
10.3390/s19092091
SENSORS
Keywords
Field
DocType
constant beamwidth beamformer,microphone arrays,chebyshev window,Kaiser window,discrete prolate spheroidal sequences
Weighting,Directivity,Electronic engineering,White noise,Engineering,Beamwidth,Microphone,Kaiser window,Computational complexity theory,Window function
Journal
Volume
Issue
ISSN
19
9
1424-8220
Citations 
PageRank 
References 
3
0.46
0
Authors
5
Name
Order
Citations
PageRank
Tao Long191.64
Israel Cohen214414.80
Baruch Berdugo325225.63
Yan Yang412122.47
Jingdong Chen51460128.79