一種穩(wěn)健的室內(nèi)無(wú)模糊多聲源TDOA估計(jì)算法

房玉琢; 許志勇

doi:10.11999/JEIT150824

一種穩(wěn)健的室內(nèi)無(wú)模糊多聲源TDOA估計(jì)算法

doi: 10.11999/JEIT150824

房玉琢¹,
許志勇¹

基金項(xiàng)目:

國(guó)家自然科學(xué)基金(61171167, 61401203)，江蘇省自然科學(xué)基金(BK20130776)

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- 文章訪問(wèn)數(shù): 1500
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- 被引次數(shù): 0
出版歷程
- 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: 該文針對(duì)室內(nèi)環(huán)境下的寬間距多聲源到達(dá)時(shí)間差(TDOA)估計(jì)問(wèn)題，研究了一種基于近似核密度估計(jì)(KDE)的無(wú)模糊算法。根據(jù)聲頻信號(hào)的短時(shí)頻譜稀疏性，利用相關(guān)性檢測(cè)(CT)提取單個(gè)聲源能量占優(yōu)的時(shí)頻支撐域，進(jìn)而將觀測(cè)信號(hào)的歸一化互功率譜(NCS)所構(gòu)建的近似核函數(shù)通過(guò)累加平均削弱室內(nèi)混響的干擾，同時(shí)引入多階段(MS)分頻帶處理有效解決寬間距時(shí)的空域模糊。理論推導(dǎo)及仿真研究驗(yàn)證了該算法是一種穩(wěn)健的室內(nèi)無(wú)模糊多聲源TDOA估計(jì)算法。
- 語(yǔ)音信號(hào)處理 /
- 麥克風(fēng)陣列 /
- 歸一化互功率譜 /
- 相關(guān)性檢測(cè) /
- 近似核密度函數(shù) /
- 無(wú)模糊到達(dá)時(shí)間差估計(jì)
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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