Abstract
Ray tracing is a deterministic method that produces propagation paths between a transmitter and a receiver. The simulation accuracy is significantly influenced by the environment details. One way to capture the environment with great precision is the utilization of depth sensors and cameras. Such reconstructed environment is in the form of a point cloud. However, utilizing such data directly in ray tracing, a key aspect on vision-aided wireless communications, often involves a significant trade-off between accuracy and execution time. In this paper, we propose an open source novel and fast point cloud-based ray launching algorithm that produces exact paths, which provide a good basis for accurate modeling of radio channel characteristics. In experiments, preliminary validation of the ray tracer output is obtained with the aid of a commercial ray tracer.
Original language | English |
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Title of host publication | 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops, ICASSPW 2024 - Proceedings |
Publisher | IEEE Institute of Electrical and Electronic Engineers |
Pages | 800-804 |
ISBN (Electronic) | 9798350374513 |
DOIs | |
Publication status | Published - 2024 |
MoE publication type | A4 Article in a conference publication |
Event | 49th IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops, ICASSPW 2024 - Seoul, Korea, Republic of Duration: 14 Apr 2024 → 19 Apr 2024 |
Conference
Conference | 49th IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops, ICASSPW 2024 |
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Country/Territory | Korea, Republic of |
City | Seoul |
Period | 14/04/24 → 19/04/24 |
Keywords
- Deterministic radio channel characterization
- graphics processing unit (GPU)
- ray tracing