2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information
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Paper Detail

Paper IDSAM-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
SessionSAM-11: Array Calibration and Performance Analysis
LocationGather.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
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.