摘要
麦克风阵列声源定位广泛应用于视音频会议系统及枪声定位系统等领域。提出了一种基于最小熵值(ME)的麦克风阵列声源定位新方法,其特点在于利用最小熵值方法对麦克风阵列进行时延估计,并与离散网格方法相结合,对声源进行空间搜索。实验结果表明,在同等混响或噪声条件下,该方法定位优于广义互相关-相位变换方法(GCC-PHAT)。
The acoustic source is widely used in audio and video conference system and gunshot localization system.In this article,a novel acoustic source localization algorithm for microphone array based on minimum entropy and stochastic region contraction（ME） is proposed.The algorithm show that the acoustic source can be developed to estimate time delay between microphones on a basis of minimum entropy and localize the acoustic source in search space by using discrete grid search algorithm.Experimental results show that the proposed algorithm is much more robust than GCC-PHAT in noise and reverberation environment.
出处
《现代电子技术》
2011年第19期61-64,共4页
Modern Electronics Technique
基金
国家自然科学基金资助项目(60940007)
关键词
麦克风阵列
声源定位
最小熵值
波达时延差
microphone array
acoustic source localization
minimum entropy
TDOA
