Name
Title | ||
|---|---|---|
Simulation of high-speed train pass-by noise source identification based on MVDR beamforming. |
Abstract | ||
|---|---|---|
To localize train pass-by noise, a hexagonal array that with 37 microphones, has better spatial symmetry, is able to locate noise source in the space of 0-360° and effectively suppress gratinglobes was designed. In order to increase the resolution of hexagonal-array, minimum variance distortionless response (MVDR) is used as bemforming algorithms. The resolution is compared between Conventional beamforming (CBF) and MVDR applied for multiple sources localization. To validate this method, a simple case of multiple soureces in close vicinity was investigated by simulation assessment. It is shown that MVDR effectively filters interferences and correctly identifies noise sources compared to CBF. The advantages of hexagonal array and MVDR are discussed and the limitations are also highlighted. © 2013 IEEE. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICCA.2013.6565115 | ICCA |
Keywords | Field | DocType |
azimuth,acoustic noise,sensors,noise,vectors | Noise,Beamforming,Minimum-variance unbiased estimator,Noise floor,Noise (signal processing),Hexagonal crystal system,Beamforming algorithm,Electronic engineering,Acoustics,High speed train,Engineering | Conference |
Volume | Issue | ISSN |
null | null | 19483457 |
ISBN | Citations | PageRank |
978-1-4673-4707-5 | 2 | 0.39 |
References | Authors | |
1 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jie Zhang | 1 | 2 | 0.39 |
| Qiang Wang | 2 | 6 | 0.84 |
| Xin-qun Wang | 3 | 2 | 0.39 |
| Chang-ming Yuan | 4 | 2 | 0.39 |