scholarly journals Adaptive Beamforming Algorithm for Interference Suppression in GNSS Receivers

2011 ◽  
Vol 3 (5) ◽  
pp. 17-28 ◽  
Author(s):  
Zhao hongwei ◽  
Lian Baowang ◽  
Feng Juan
Keyword(s):  
Interference Suppression ◽  
Adaptive Beamforming ◽  
Gnss Receivers ◽  
Beamforming Algorithm

Fast Blind Adaptive Beamforming Algorithm With Interference Suppression

2008 ◽  
Vol 57 (3) ◽  
pp. 1985-1988 ◽  
Author(s):  
Ning Xie ◽  
Yuanping Zhou ◽  
Minghua Xia ◽  
Wenming Tang
Keyword(s):  
Interference Suppression ◽  
Adaptive Beamforming ◽  
Blind Adaptive ◽  
Beamforming Algorithm

scholarly journals Rotating equipment fault noise location based on adaptive beamforming algorithm

2021 ◽  
Vol 2113 (1) ◽  
pp. 012042
Author(s):  
Yongshao Xu ◽  
Bingzheng Liu ◽  
Haotian Shang ◽  
Mingduo Wang
Keyword(s):  
Microphone Array ◽  
State Parameter ◽  
Noise Signal ◽  
Source Location ◽  
Adaptive Beamforming ◽  
Rotating Machinery ◽  
Acoustic Sensor ◽  
Unsteady State ◽  
Beamforming Algorithm ◽  
Fault Source

Abstract Rotating machinery often produces continuous impact during operation due to the change of load and speed, which shows the characteristics of unsteady state and time-varying. Its working state can not be comprehensively judged by a single vibration state parameter. Therefore, this paper proposes to use acoustic sensors to collect the fault noise signal of rotating machinery, and use the whole column of sensors to detect the fault noise signal. Based on the microphone array, this paper studies the adaptive beamforming algorithm (MVDR) to locate the fault source of rotating machinery in space. The effect of fault source location is verified by simulation and equipment measurement experiments. The acoustic sensor does not in contact with the equipment, which will not damage the generator set, but also provide more effective information for fault source location and fault diagnosis and analysis.

Sign in / Sign up

Export Citation Format

Share Document