Design of experimental adaptive beamforming system utilizing microphone array

2013 ◽  
Author(s):  
Yuze Sun ◽  
Xiaopeng Yang ◽  
Ji Zhang
Keyword(s):  
Microphone Array ◽  
Adaptive Beamforming

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.

Acoustic Field Distribution in Speech with the use of the Microphone Array

2017 ◽  
Vol 4 (3) ◽  
pp. 9-16 ◽  
Author(s):  
Daniel Król ◽  
Anita Lorenc
Keyword(s):  
Field Distribution ◽  
Acoustic Field ◽  
Microphone Array ◽  
Three Dimensional ◽  
Adaptive Beamforming ◽  
Paper Analysis ◽  
Acoustic Fields ◽  
Non Invasive ◽  
Audio Data

This article presents a 16-channel microphone-array recorder/processor that allows for a simultaneous and non-invasive detection of oral, oronasal and nasal segments in speech. Such devices and methods have not been used in the research on the articulation of sounds in the world’s languages. In this paper analysis of Polish nasal vowel was presented. Adaptive beamforming method used for rendering three-dimensional acoustic fields of the recorded audio data has been shown.

Adaptive beamforming with a Microphone Array

2015 ◽  
Author(s):  
Shah Mahdi Hasan ◽  
Mohammad Bin Monjil ◽  
Farhad Mohsin ◽  
Md. Abul Hayat ◽  
A.B.M. Harun-ur Rashid
Keyword(s):  
Microphone Array ◽  
Adaptive Beamforming

scholarly journals Classification, positioning, and tracking of drones by HMM using acoustic circular microphone array beamforming

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Junfeng Guo ◽  
Ishtiaq Ahmad ◽  
KyungHi Chang
Keyword(s):  
Background Noise ◽  
Microphone Array ◽  
Reference Signal ◽  
Adaptive Beamforming ◽  
Commercial Application ◽  
Monitoring Systems ◽  
Focal Points ◽  
Sound Sources ◽  
Recorded Sound ◽  
Array Beamforming

AbstractThis paper addresses issues with monitoring systems that identify and track illegal drones. The development of drone technologies promotes the widespread commercial application of drones. However, the ability of a drone to carry explosives and other destructive materials may pose serious threats to public safety. In order to reduce these threats, we propose an acoustic-based scheme for positioning and tracking of illegal drones. Our proposed scheme has three main focal points. First, we scan the sky with switched beamforming to find sound sources and record the sounds using a microphone array; second, we perform classification with a hidden Markov model (HMM) in order to know whether the sound is a drone or something else. Finally, if the sound source is a drone, we use its recorded sound as a reference signal for tracking based on adaptive beamforming. Simulations are conducted under both ideal conditions (without background noise and interference sounds) and non-ideal conditions (with background noise and interference sounds), and we evaluate the performance when tracking illegal drones.

scholarly journals Comparison of LMS adaptive beamforming techniques in microphone arrays

2015 ◽  
Vol 12 (1) ◽  
pp. 1-16
Author(s):  
Milos Bjelic ◽  
Miodrag Stanojevic
Keyword(s):  
Experimental Testing ◽  
Microphone Array ◽  
Training Sequence ◽  
Adaptive Beamforming ◽  
Microphone Arrays ◽  
Lms Algorithm ◽  
Detailed Explanation ◽  
Measurement Results ◽  
Array Beamforming ◽  
Acoustical Signals

This paper discusses principles of microphone array beamforming, specifically the use of LMS algorithm with training sequence. The problem of wideband nature of acoustical signals and its impact on the techniques of beamforming are discussed. Detailed explanation of classic narrowband and wideband LMS beamformers is presented, as well as the modification of narrowband algorithm with pre-steering. Experimental testing and comparison of algorithm performances was conducted and measurement results are presented. The used microphone array is part of Br?el & Kj?r acoustical camera, and is comprised of 18 omnidirectional non-uniformly spaced microphones.

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