摘要
通过球麦克风阵列采集高阶声场的声压信息,采用球谐函数分解声场并建立信号模型,应用MUSIC算法提取出声源的方位。由于MUSIC算法在信号源相干性比较高,特别是声源比较接近时,其分辨率会严重下降,提出了一种基于空间平滑的瓣分块方法来提高定位的效果。仿真实验采用了一个72元的球阵,实验结果表明:提出的方法能同时有效地确定声场中多个声源的位置,能比较好地对抗噪声的影响。
In this paper sound pressure is sampled through spherical microphone array.Sound field can be decomposed by spherical harmonics and a signal model is built.Based on the model,MUSIC algorithm is adopted to estimate the positions of multiple acoustic sources.However this method fails when the signals are coherent,especially near to each other.Therefore a new petal-blocking method is proposed based on spatial smoothing to improve localization effect.A 72-element spherical microphone array is applied to the simulation.The results show that this method can localize multiple coherent sources and resist noise.
出处
《计算机工程与应用》
CSCD
2012年第5期149-152,共4页
Computer Engineering and Applications
基金
国家自然科学基金(No.61001160)
教育部博士点基金(No.20093108120018)
关键词
球麦克风阵列
球谐函数
多信号分类(MUSIC)算法
空间平滑
spherical microphone array
spherical harmonics
Multiple Signal Classification(MUSIC)algorithm
spatial smoothing