TY - GEN
T1 - Improved Generalized Cross Correlation Phase Transform Algorithm for Time Difference of Arrival Estimation
AU - Tan, Chee Sheng
AU - Mohd-Mokhtar, Rosmiwati
AU - Arshad, Mohd Rizal
N1 - Publisher Copyright:
© 2019, Springer Nature Singapore Pte Ltd.
PY - 2019
Y1 - 2019
N2 - In this paper, we proposed an improved Generalized Cross-Correlation Phase Transform (GCC-PHAT) based on segmentation to estimate a time difference of arrival (TDOA). Traditionally, a GCC-PHAT computes the TDOA between two signals for a given segment in a complete signal. A computation of the TDOA is repeated on every segment between a pair of sensors. A time delay is estimated after a cross-correlation between two segments of signals in the frequency domain. However, in this study instead of the cross-correlation between two signals from segment to segment, this approach is selecting a segment that contains a frequency of interest within the signals. Both selected segments do not need to be aligned for implementation of the cross-correlation. The TDOA estimation is derived based on an intensity of a received signal with the frequency of interest after computing the GCC-PHAT. According to an experimental result, a proposed method is successfully validated on a real data containing a base signal that are recorded from a hydrophone.
AB - In this paper, we proposed an improved Generalized Cross-Correlation Phase Transform (GCC-PHAT) based on segmentation to estimate a time difference of arrival (TDOA). Traditionally, a GCC-PHAT computes the TDOA between two signals for a given segment in a complete signal. A computation of the TDOA is repeated on every segment between a pair of sensors. A time delay is estimated after a cross-correlation between two segments of signals in the frequency domain. However, in this study instead of the cross-correlation between two signals from segment to segment, this approach is selecting a segment that contains a frequency of interest within the signals. Both selected segments do not need to be aligned for implementation of the cross-correlation. The TDOA estimation is derived based on an intensity of a received signal with the frequency of interest after computing the GCC-PHAT. According to an experimental result, a proposed method is successfully validated on a real data containing a base signal that are recorded from a hydrophone.
KW - Generalized cross-correlation phase transform (GCC-PHAT)
KW - Segmentation
KW - Time difference of arrival (TDOA)
UR - http://www.scopus.com/inward/record.url?scp=85063430656&partnerID=8YFLogxK
U2 - 10.1007/978-981-13-3708-6_26
DO - 10.1007/978-981-13-3708-6_26
M3 - Conference Proceeding
AN - SCOPUS:85063430656
SN - 9789811337079
T3 - Lecture Notes in Electrical Engineering
SP - 315
EP - 322
BT - Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018 - NUSYS 2018
A2 - Md Zain, Zainah
A2 - Ahmad, Hamzah
A2 - Pebrianti, Dwi
A2 - Mustafa, Mahfuzah
A2 - Abdullah, Nor Rul Hasma
A2 - Samad, Rosdiyana
A2 - Mat Noh, Maziyah
PB - Springer Verlag
T2 - 10th National Technical Seminar on Underwater System Technology, NUSYS 2018
Y2 - 26 September 2018 through 27 September 2018
ER -