### Resumé

*N*radians per sample, where

*N*is the number of data points, and a known number of harmonics. The more general method only relies on that the source signal is periodic and is, therefore, able to outperform the cross-correlation method in terms of estimation accuracy on both synthetic and real-world data. The simulation code is available online.

Originalsprog | Engelsk |
---|---|

Tidsskrift | I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings |

Sider (fra-til) | 11-15 |

Antal sider | 5 |

ISSN | 1520-6149 |

DOI | |

Status | Udgivet - apr. 2015 |

Begivenhed | 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015 - Brisbane, Australien Varighed: 19 apr. 2015 → 24 apr. 2015 Konferencens nummer: 2015 |

### Konference

Konference | 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015 |
---|---|

Nummer | 2015 |

Land | Australien |

By | Brisbane |

Periode | 19/04/2015 → 24/04/2015 |

### Emneord

- TDOA estimation
- fundamental frequency estimation
- generalized cross-correlation

### Citer dette

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**On Frequency Domain Models for TDOA Estimation.** / Jensen, Jesper Rindom; Nielsen, Jesper Kjær; Christensen, Mads Græsbøll; Jensen, Søren Holdt.

Publikation: Bidrag til tidsskrift › Konferenceartikel i tidsskrift › Forskning › peer review

TY - GEN

T1 - On Frequency Domain Models for TDOA Estimation

AU - Jensen, Jesper Rindom

AU - Nielsen, Jesper Kjær

AU - Christensen, Mads Græsbøll

AU - Jensen, Søren Holdt

PY - 2015/4

Y1 - 2015/4

N2 - Time-difference-of-arrival (TDOA) estimation is an important problem in many microphone signal processing applications. Traditionally, this problem is solved by using a cross-correlation method, but in this paper we show that the cross-correlation method is actually a restricted special case of a much more general method. In this connection, we establish the conditions under which the cross-correlation method is a statistically efficient estimator. One of the conditions is that the source signal is periodic with a known fundamental frequency of 2π/N radians per sample, where N is the number of data points, and a known number of harmonics. The more general method only relies on that the source signal is periodic and is, therefore, able to outperform the cross-correlation method in terms of estimation accuracy on both synthetic and real-world data. The simulation code is available online.

AB - Time-difference-of-arrival (TDOA) estimation is an important problem in many microphone signal processing applications. Traditionally, this problem is solved by using a cross-correlation method, but in this paper we show that the cross-correlation method is actually a restricted special case of a much more general method. In this connection, we establish the conditions under which the cross-correlation method is a statistically efficient estimator. One of the conditions is that the source signal is periodic with a known fundamental frequency of 2π/N radians per sample, where N is the number of data points, and a known number of harmonics. The more general method only relies on that the source signal is periodic and is, therefore, able to outperform the cross-correlation method in terms of estimation accuracy on both synthetic and real-world data. The simulation code is available online.

KW - TDOA estimation

KW - fundamental frequency estimation

KW - generalized cross-correlation

U2 - 10.1109/ICASSP.2015.7177922

DO - 10.1109/ICASSP.2015.7177922

M3 - Conference article in Journal

SP - 11

EP - 15

JO - I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings

JF - I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings

SN - 1520-6149

ER -