TY - GEN
T1 - Sensor Networks Tdoa Self-Calibration
T2 - IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021
AU - Ferranti, Luca
AU - Åström, Kalle
AU - Oskarsson, Magnus
AU - Boutellier, Jani
AU - Kannala, Juho
PY - 2021
Y1 - 2021
N2 - Given a network of receivers and transmitters, the process of determining their positions from measured pseudoranges is known as network self-calibration. In this paper we consider 2D networks with synchronized receivers but unsynchronized transmitters and the corresponding calibration techniques, known as Time-Difference-Of-Arrival (TDOA) techniques. Despite previous work, TDOA self-calibration is computationally challenging. Iterative algorithms are very sensitive to the initialization, causing convergence issues. In this paper, we present a novel approach, which gives an algebraic solution to two previously unsolved scenarios. We also demonstrate that our solvers produce an excellent initial value for non-linear optimisation algorithms, leading to a full pipeline robust to noise.
AB - Given a network of receivers and transmitters, the process of determining their positions from measured pseudoranges is known as network self-calibration. In this paper we consider 2D networks with synchronized receivers but unsynchronized transmitters and the corresponding calibration techniques, known as Time-Difference-Of-Arrival (TDOA) techniques. Despite previous work, TDOA self-calibration is computationally challenging. Iterative algorithms are very sensitive to the initialization, causing convergence issues. In this paper, we present a novel approach, which gives an algebraic solution to two previously unsolved scenarios. We also demonstrate that our solvers produce an excellent initial value for non-linear optimisation algorithms, leading to a full pipeline robust to noise.
KW - Minimal problems
KW - Sensor networks calibration
KW - Time difference of arrival
UR - http://www.scopus.com/inward/record.url?scp=85115122231&partnerID=8YFLogxK
U2 - 10.1109/ICASSP39728.2021.9414634
DO - 10.1109/ICASSP39728.2021.9414634
M3 - Paper in conference proceeding
AN - SCOPUS:85115122231
SN - 978-1-7281-7606-2
VL - 2021-June
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 4635
EP - 4639
BT - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Y2 - 6 June 2021 through 11 June 2021
ER -