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Sensiverse: A dataset for ISAC study

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arxiv 2308.13789 v1 pith:3N7Z3NHW submitted 2023-08-26 eess.SP

Jiajin Luo , Baojian Zhou , Yang Yu , Ping Zhang , Xiaohui Peng , Jianglei Ma , Peiying Zhu , Jianmin Lu
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Wen Tong
This is my paper · ORCID
classification eess.SP
keywords datasetisacsensiversechannelevaluationmodelsresearchacquisition
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In order to address the lack of applicable channel models for ISAC research and evaluation, we release Sensiverse, a dataset that can be used for ISAC research. In this paper, we present the method of generating Sensiverse, including the acquisition and formatting of the 3D scene models, the generation of the channel data and associations with Tx/Rx deployment. The file structure and usage of the dataset are also described, and finally the use of the dataset is illustrated with examples through the evaluation of use cases such as 3D environment reconstruction and moving targets.

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