| Paper ID | SAM-11.3 |
| Paper Title |
SENSOR NETWORKS TDOA SELF-CALIBRATION: 2D COMPLEXITY ANALYSIS AND SOLUTIONS |
| Authors |
Luca Ferranti, University of Vaasa, Finland; Kalle Åström, Magnus Oskarsson, Lund University, Sweden; Jani Boutellier, University of Vaasa, Finland; Juho Kannala, Aalto University, Finland |
| Session | SAM-11: Array Calibration and Performance Analysis |
| Location | Gather.Town |
| Session Time: | Friday, 11 June, 13:00 - 13:45 |
| Presentation Time: | Friday, 11 June, 13:00 - 13:45 |
| Presentation |
Poster
|
| Topic |
Sensor Array and Multichannel Signal Processing: [SAM-CALB] Array calibration |
| IEEE Xplore Open Preview |
Click here to view in IEEE Xplore |
| Virtual Presentation |
Click here to watch in the Virtual Conference |
| Abstract |
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. |
