A Computationally Efficient EK-PMBM Filter for Bistatic mmWave Radio SLAM

Millimeter wave (mmWave) signals are useful for simultaneous localization and mapping (SLAM), due to their inherent geometric connection to the propagation environment and the propagation channel. To solve the SLAM problem, existing approaches rely on sigma-point or particle-based approximations, le...

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Veröffentlicht in:	IEEE journal on selected areas in communications 2022-07, Vol.40 (7), p.2179-2192
Hauptverfasser:	Ge, Yu, Kaltiokallio, Ossi, Kim, Hyowon, Jiang, Fan, Talvitie, Jukka, Valkama, Mikko, Svensson, Lennart, Kim, Sunwoo, Wymeersch, Henk
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bistatic sensing Complexity Complexity theory Computational efficiency Computational modeling Computing costs extended Kalman filter Filtering algorithms Kalman filters Millimeter waves mmWave sensing Poisson multi-Bernoulli mixture filter Propagation Receivers Sensors Simultaneous localization and mapping State estimation Taylor series
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