Title
TDOA estimation based on phase-voting cross correlation and circular standard deviation.
Abstract
This paper proposes a new TDOA estimation based on phase-voting cross correlation and circular standard deviation. Based on phase delay and kernel function, the proposed method generates a probability density function (PDF) of TDOA for each frequency bin. TDOA estimate is determined by voting the PDFs generated for all frequency bins. Peak positions of the bin-wise PDFs for the target signal are concentrated only at the target time difference because peak positions for the noise totally differ among bins and periodicity of peaks depends on frequency. Therefore, by voting the PDFs for all frequency bins, the peak position for the target can be easily identified. The kernel width of PDF is determined by circular standard deviation of cross spectral phase for each frequency bin. This width control enhances peaks of PDFs for high SNR frequency bins since phases for high SNR bins are more stable than those for low ones. Evaluation with ship and drone sounds shows that the RMSE of TDOA estimation by the proposed method reaches 0.37 times that by GCC-PHAT.
Year
Venue
Field
2017
European Signal Processing Conference
Cross-correlation,Bin,Signal-to-noise ratio,Algorithm,Mean squared error,Group delay and phase delay,Statistics,Probability density function,Standard deviation,Mathematics,Kernel (statistics)
DocType
ISSN
Citations 
Conference
2076-1465
0
PageRank 
References 
Authors
0.34
8
3
Name
Order
Citations
PageRank
Masanori Kato174.09
Yuzo Senda2244.05
Reishi Kondo303.04