mmWave Mapping using PHD with Smoothed Track Confirmation and Multi-Bounce Suppression
Paper in proceeding, 2022
The development of integrated sensing and communication systems together with increased carrier frequencies, larger bandwidth and massive antenna arrays are the key driving forces of future high resolution sensing services. This trend will turn the user device into a mobile radar, thereby opening interesting application scenarios in remote sensing. In this paper, we present a labeled probability hypothesis density filter for feature-based mapping in a mobile radar scenario. Smoothed track confirmation and multi-bounce signal suppression are proposed to enhance mapping quality and mitigate adverse effects of false landmarks. The mapping algorithm is evaluated using realistic ray-tracing data and the results imply that the mapping accuracy improves 31 % compared to a benchmark mapping algorithm.
Millimeter wave
Mapping
Probability hypothesis density
SG
Integrated sensing and communication
Author
Ossi Kaltiokallio
University of Tampere
Jukka Talvitie
University of Tampere
Yu Ge
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Henk Wymeersch
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
M. Valkama
University of Tampere
2022 IEEE International Conference on Communications Workshops, ICC Workshops 2022
67-72
9781665426718 (ISBN)
2022 IEEE International Conference on Communications Workshops, ICC Workshops 2022
Seoul, South Korea,
Seoul, South Korea,
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Subject Categories
Telecommunications
Communication Systems
Signal Processing
DOI
10.1109/ICCWorkshops53468.2022.9814587