TY - GEN
T1 - Distributed Algorithm for Cooperative Joint Localization and Tracking Using Multiple-Input Multiple-Output Radars
AU - Kitchen, Astrid Holm Filtenborg
AU - Brøndt, Mikkel Sebastian Lundsgaard
AU - Jensen, Marie Saugstrup
AU - Pedersen, Troels
AU - Westerkam, Anders Malthe
PY - 2025/3/27
Y1 - 2025/3/27
N2 - We propose a distributed joint localization and tracking algorithm using a message passing framework, for multiple-input multiple-output radars. We employ the mean field approach to derive an iterative algorithm. The obtained algorithm features a small communication overhead that scales linearly with the number of radars in the system. The proposed algorithm shows good estimation accuracy in two simulated scenarios even below 0 dB signal to noise ratio. In both cases the ground truth falls within the 95 % confidence interval of the estimated posterior for the majority of the track.
AB - We propose a distributed joint localization and tracking algorithm using a message passing framework, for multiple-input multiple-output radars. We employ the mean field approach to derive an iterative algorithm. The obtained algorithm features a small communication overhead that scales linearly with the number of radars in the system. The proposed algorithm shows good estimation accuracy in two simulated scenarios even below 0 dB signal to noise ratio. In both cases the ground truth falls within the 95 % confidence interval of the estimated posterior for the majority of the track.
M3 - Article in proceeding
BT - IEEE international RADAR con
ER -