Observer-based beamforming algorithm for acoustic array signal processing.
Observer-based beamforming algorithm for acoustic array signal processing.
复制标题
用于声学阵列信号处理的基于观察者的波束形成算法。
DOI：
10.1121/1.3658448
复制
发表时间：
2011-12
影响因子：
2.4
通讯作者：
Huang, Xun
中科院分区：
文献类型：
--
作者：
Bai, Long;Huang, Xun
In the field of noise identification with microphone arrays, conventional delay-and-sum (DAS) beamforming is the most popular signal processing technique. However, acoustic imaging results that are generated by DAS beamforming are easily influenced by background noise, particularly for in situ wind tunnel tests. Even when arithmetic averaging is used to statistically remove the interference from the background noise, the results are far from perfect because the interference from the coherent background noise is still present. In addition, DAS beamforming based on arithmetic averaging fails to deliver real-time computational capability. An observer-based approach is introduced in this paper. This so-called observer-based beamforming method has a recursive form similar to the state observer in classical control theory, thus holds a real-time computational capability. In addition, coherent background noise can be gradually rejected in iterations. Theoretical derivations of the observer-based beamforming algorithm are carefully developed in this paper. Two numerical simulations demonstrate the good coherent background noise rejection and real-time computational capability of the observer-based beamforming, which therefore can be regarded as an attractive algorithm for acoustic array signal processing.
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DOI：
10.1109/9780470544334.ch9
发表时间：
2001
期刊：
Comput. Electron. Agric.
影响因子：
--
作者：
T. Başar
通讯作者：
T. Başar
DOI：
10.1016/s0005-1098(03)00031-1
发表时间：
2003-05
期刊：
Autom.
影响因子：
--
作者：
A. Johansson;A. Medvedev
通讯作者：
A. Johansson;A. Medvedev
影响因子：
20.6
作者：
D. Dudgeon
通讯作者：
D. Dudgeon
DOI：
10.1121/1.3100641
发表时间：
2009-04
期刊：
The Journal of the Acoustical Society of America
影响因子：
--
作者：
Xun Huang
通讯作者：
Xun Huang
影响因子：
2.5
作者：
Xun Huang;Igor Vinogradov;L. Bai;Jianchao Ji
通讯作者：
Xun Huang;Igor Vinogradov;L. Bai;Jianchao Ji