Improved Generalized Cross Correlation Phase Transform Algorithm for Time Difference of Arrival Estimation

Chee Sheng Tan; Rosmiwati Mohd-Mokhtar; Mohd Rizal Arshad

doi:10.1007/978-981-13-3708-6_26

Improved Generalized Cross Correlation Phase Transform Algorithm for Time Difference of Arrival Estimation

Chee Sheng Tan
, Rosmiwati Mohd-Mokhtar^*
, Mohd Rizal Arshad

^*Corresponding author for this work

Universiti Sains Malaysia

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

6 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018 - NUSYS 2018
Editors	Zainah Md Zain, Hamzah Ahmad, Dwi Pebrianti, Mahfuzah Mustafa, Nor Rul Hasma Abdullah, Rosdiyana Samad, Maziyah Mat Noh
Publisher	Springer Verlag
Pages	315-322
Number of pages	8
ISBN (Print)	9789811337079
DOIs	https://doi.org/10.1007/978-981-13-3708-6_26
Publication status	Published - 2019
Externally published	Yes
Event	10th National Technical Seminar on Underwater System Technology, NUSYS 2018 - Pahang, Malaysia Duration: 26 Sept 2018 → 27 Sept 2018

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	538
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	10th National Technical Seminar on Underwater System Technology, NUSYS 2018
Country/Territory	Malaysia
City	Pahang
Period	26/09/18 → 27/09/18

Keywords

Generalized cross-correlation phase transform (GCC-PHAT)
Segmentation
Time difference of arrival (TDOA)

Access to Document

10.1007/978-981-13-3708-6_26

Cite this

Tan, C. S., Mohd-Mokhtar, R., & Arshad, M. R. (2019). Improved Generalized Cross Correlation Phase Transform Algorithm for Time Difference of Arrival Estimation. In Z. Md Zain, H. Ahmad, D. Pebrianti, M. Mustafa, N. R. H. Abdullah, R. Samad, & M. Mat Noh (Eds.), Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018 - NUSYS 2018 (pp. 315-322). (Lecture Notes in Electrical Engineering; Vol. 538). Springer Verlag. https://doi.org/10.1007/978-981-13-3708-6_26

Tan, Chee Sheng ; Mohd-Mokhtar, Rosmiwati ; Arshad, Mohd Rizal. / Improved Generalized Cross Correlation Phase Transform Algorithm for Time Difference of Arrival Estimation. Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018 - NUSYS 2018. editor / Zainah Md Zain ; Hamzah Ahmad ; Dwi Pebrianti ; Mahfuzah Mustafa ; Nor Rul Hasma Abdullah ; Rosdiyana Samad ; Maziyah Mat Noh. Springer Verlag, 2019. pp. 315-322 (Lecture Notes in Electrical Engineering).

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abstract = "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.",

keywords = "Generalized cross-correlation phase transform (GCC-PHAT), Segmentation, Time difference of arrival (TDOA)",

author = "Tan, \{Chee Sheng\} and Rosmiwati Mohd-Mokhtar and Arshad, \{Mohd Rizal\}",

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year = "2019",

doi = "10.1007/978-981-13-3708-6\_26",

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Tan, CS, Mohd-Mokhtar, R & Arshad, MR 2019, Improved Generalized Cross Correlation Phase Transform Algorithm for Time Difference of Arrival Estimation. in Z Md Zain, H Ahmad, D Pebrianti, M Mustafa, NRH Abdullah, R Samad & M Mat Noh (eds), Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018 - NUSYS 2018. Lecture Notes in Electrical Engineering, vol. 538, Springer Verlag, pp. 315-322, 10th National Technical Seminar on Underwater System Technology, NUSYS 2018, Pahang, Malaysia, 26/09/18. https://doi.org/10.1007/978-981-13-3708-6_26

Improved Generalized Cross Correlation Phase Transform Algorithm for Time Difference of Arrival Estimation. / Tan, Chee Sheng; Mohd-Mokhtar, Rosmiwati; Arshad, Mohd Rizal.
Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018 - NUSYS 2018. ed. / Zainah Md Zain; Hamzah Ahmad; Dwi Pebrianti; Mahfuzah Mustafa; Nor Rul Hasma Abdullah; Rosdiyana Samad; Maziyah Mat Noh. Springer Verlag, 2019. p. 315-322 (Lecture Notes in Electrical Engineering; Vol. 538).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

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

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)

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M3 - Conference Proceeding

AN - SCOPUS:85063430656

SN - 9789811337079

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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 -

Tan CS, Mohd-Mokhtar R, Arshad MR. Improved Generalized Cross Correlation Phase Transform Algorithm for Time Difference of Arrival Estimation. In Md Zain Z, Ahmad H, Pebrianti D, Mustafa M, Abdullah NRH, Samad R, Mat Noh M, editors, Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018 - NUSYS 2018. Springer Verlag. 2019. p. 315-322. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-13-3708-6_26

Improved Generalized Cross Correlation Phase Transform Algorithm for Time Difference of Arrival Estimation

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