一种稳健的室内无模糊多声源TDOA估计算法

房玉琢; 许志勇

doi:10.11999/JEIT150824

一种稳健的室内无模糊多声源TDOA估计算法

doi: 10.11999/JEIT150824

房玉琢¹,
许志勇¹

基金项目:

国家自然科学基金(61171167, 61401203)，江苏省自然科学基金(BK20130776)

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- 文章访问数: 1396
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- 被引次数: 0
出版历程
- 收稿日期: 2015-07-09
- 修回日期: 2015-12-18
- 刊出日期: 2016-05-19

A Robust Algorithm for Unambiguous TDOA Estimation of Multiple Sound Sources under Indoor Environment

FANG Yuzhuo¹,
XU Zhiyong¹

Funds:

The National Natural Science Foundation of China (61171167, 61401203), Natural Science Foundation of Jiangsu Province (BK20130776)

摘要

摘要: 该文针对室内环境下的宽间距多声源到达时间差(TDOA)估计问题，研究了一种基于近似核密度估计(KDE)的无模糊算法。根据声频信号的短时频谱稀疏性，利用相关性检测(CT)提取单个声源能量占优的时频支撑域，进而将观测信号的归一化互功率谱(NCS)所构建的近似核函数通过累加平均削弱室内混响的干扰，同时引入多阶段(MS)分频带处理有效解决宽间距时的空域模糊。理论推导及仿真研究验证了该算法是一种稳健的室内无模糊多声源TDOA估计算法。
- 语音信号处理 /
- 麦克风阵列 /
- 归一化互功率谱 /
- 相关性检测 /
- 近似核密度函数 /
- 无模糊到达时间差估计
Abstract: For Time Difference Of Arrival (TDOA) estimation of multiple sound sources with wide spacing under indoor environment, an unambiguous algorithm based on approximated Kernel Destiny Estimator (KDE) is studied. According to the short-time spectral sparseness of audio signals, the time-frequency bin with energy dominance of a single source is extracted from Coherence Test (CT), then an approximated kernel function constructed of Normalized Cross-Spectrum (NCS) of obtained signals is used to weaken the interference of indoor reverberation with cumulative average, while adding Multi-Stage (MS) to divide the frequency band, the spatial ambiguity with wide spacing can be solved effectively. This algorithm is verified as an unambiguous TDOA estimation algorithm of multi-source under indoor environment by both theoretical derivation and simulation results.

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参考文献(17)

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