波束赋形
麦克风阵列
计算机科学
话筒
到达方向
噪音(视频)
声学
语音识别
声源定位
数组处理
自适应波束形成器
信号处理
声音(地理)
天线(收音机)
人工智能
电信
雷达
物理
图像(数学)
声压
作者
Vera Behar,Christo Kabakchiev,V. Kyovtorov
摘要
In this paper, the Space-Time Array Processing (STAP) approach is applied to sound source localization using adaptive microphone arrays. Two beamforming methods, conventional and MVDR are used for estimating the direction-of arrival (DOA) of sound signals arrived at the microphone array from different sensors in the observation area. The simulation scenario describes a situation where three sensors generating three different sound signals (warning, alarm and emergency) and one source of natural noise (car) are located at various points in the observation area. The results obtained demonstrate that in contrast to the conventional method of beamforming the MVDR gives accurate estimates of The DOA of all sound signals generated by sensors in the observation area.
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