Evaluation of generalized cross-correlation methods for direction of arrival estimation using two microphones in real environments

2012 ◽  
Vol 73 (8) ◽  
pp. 698-712 ◽  
Author(s):  
J.M. Perez-Lorenzo ◽  
R. Viciana-Abad ◽  
P. Reche-Lopez ◽  
F. Rivas ◽  
J. Escolano
Keyword(s):  
Cross Correlation ◽  
Direction Of Arrival ◽  
Direction Of Arrival Estimation ◽  
Correlation Methods

scholarly journals INVESTIGATION OF SIGNAL THRESHOLDING EFFECTS ON THE ACCURACY OF SOUND SOURCE LOCALIZATION

2021 ◽  
Vol 9 (09) ◽  
pp. 80-85
Author(s):  
Saulius Sakavicius ◽  
Keyword(s):  
Source Localization ◽  
Sound Source ◽  
Cross Correlation ◽  
Time Lag ◽  
Direction Of Arrival ◽  
Signal Amplitude ◽  
Direction Of Arrival Estimation ◽  
Microphone Signal ◽  
Minimum Error ◽  
Selection Of

In this article theoretical analysis of the signal thresholding effects on the accuracy of cross-correlation based sound source direction of arrival estimation was presented. The aim of the investigation was to determine the theoretical limits and challenges of the accuracy of the localization of a speaker within an acoustic enclosure by cross-correlation of two microphone signals and to offer means to increase the accuracy of sound source direction of arrival estimation via selection of audio frames based on the time lag estimation realiability measure. For the investigation, audio material from an openly accessible database was used. Presented are the methods for obtaining various features of the microphone signal frames, signal amplitude to minimum error amplitude calculation and experimentation with threshold-based audio frame selection.

Direction of Arrival Estimation Under Near-Field Interference Using Matrix Filter

2015 ◽  
Vol 23 (04) ◽  
pp. 1540007 ◽  
Author(s):  
Guolong Liang ◽  
Wenbin Zhao ◽  
Zhan Fan
Keyword(s):  
Near Field ◽  
Direction Of Arrival ◽  
Doa Estimation ◽  
Direction Of Arrival Estimation ◽  
Far Field ◽  
Data Simulation ◽  
Estimation Algorithms ◽  
Simulation Results

Direction of arrival (DOA) estimation is of great interest due to its wide applications in sonar, radar and many other areas. However, the near-field interference is always presented in the received data, which may result in degradation of DOA estimation. An approach which can suppress the near-field interference and preserve the far-field signal desired by using a spatial matrix filter is proposed in this paper and some typical DOA estimation algorithms are adjusted to match the filtered data. Simulation results show that the approach can improve capability of DOA estimation under near-field inference efficiently.

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