This paper presents a complete characterization and solution to microphone position self-calibration problem for time-of-arrival (TOA) measurements. This is the problem of determining the positions of receivers and transmitters given all receiver-transmitter distances. Such calibration problems arise in application such as calibration of radio antenna networks, audio or ultra-sound arrays and WiFi transmitter arrays. We show for what cases such calibration problems are well-defined and derive efficient and numerically stable algorithms for the minimal TOA calibration problems. The proposed algorithms are non-iterative and require no assumptions on the sensor positions. Experiments on synthetic data show that the proposed minimal solvers are numerically stable and perform well on noisy data. The solvers are also tested on two real datasets with good results.
|Titel på värdpublikation||A|
|Förlag||IEEE - Institute of Electrical and Electronics Engineers Inc.|
|Status||Published - 2013|
|Evenemang||The 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013) - Vancouver, Kanada|
Varaktighet: 2013 maj 26 → 2013 maj 31
|Konferens||The 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)|
|Period||2013/05/26 → 2013/05/31|
Bibliografisk informationThe paper is to appear in the IEEE conference proceedings
"Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on"
- Datorseende och robotik (autonoma system)