Target Localization with Macro and Micro Base Stations Cooperative Sensing

Fuente: arXiv
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Autores principales: Liu, Haotian, Wei, Zhiqing, Yang, Furong, Wu, Huici, Han, Kaifeng, Feng, Zhiyong
Formato: Preprint
Publicado: 2024
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author Liu, Haotian
Wei, Zhiqing
Yang, Furong
Wu, Huici
Han, Kaifeng
Feng, Zhiyong
author_facet Liu, Haotian
Wei, Zhiqing
Yang, Furong
Wu, Huici
Han, Kaifeng
Feng, Zhiyong
contents Addressing the communication and sensing demands of sixth-generation (6G) mobile communication system, integrated sensing and communication (ISAC) has garnered traction in academia and industry. With the sensing limitation of single base station (BS), multi-BS cooperative sensing is regarded as a promising solution. The coexistence and overlapped coverage of macro BS (MBS) and micro BS (MiBS) are common in the development of 6G, making the cooperative sensing between MBS and MiBS feasible. Since MBS and MiBS work in low and high frequency bands, respectively, the challenges of MBS and MiBS cooperative sensing lie in the fusion method of the sensing information in high and low-frequency bands. To this end, this paper introduces a symbol-level fusion method and a grid-based three-dimensional discrete Fourier transform (3D-GDFT) algorithm to achieve precise localization of multiple targets with limited resources. Simulation results demonstrate that the proposed MBS and MiBS cooperative sensing scheme outperforms traditional single BS (MBS/MiBS) sensing scheme, showcasing superior sensing performance
format Preprint
id arxiv_https___arxiv_org_abs_2405_02873
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Target Localization with Macro and Micro Base Stations Cooperative Sensing
Liu, Haotian
Wei, Zhiqing
Yang, Furong
Wu, Huici
Han, Kaifeng
Feng, Zhiyong
Signal Processing
Addressing the communication and sensing demands of sixth-generation (6G) mobile communication system, integrated sensing and communication (ISAC) has garnered traction in academia and industry. With the sensing limitation of single base station (BS), multi-BS cooperative sensing is regarded as a promising solution. The coexistence and overlapped coverage of macro BS (MBS) and micro BS (MiBS) are common in the development of 6G, making the cooperative sensing between MBS and MiBS feasible. Since MBS and MiBS work in low and high frequency bands, respectively, the challenges of MBS and MiBS cooperative sensing lie in the fusion method of the sensing information in high and low-frequency bands. To this end, this paper introduces a symbol-level fusion method and a grid-based three-dimensional discrete Fourier transform (3D-GDFT) algorithm to achieve precise localization of multiple targets with limited resources. Simulation results demonstrate that the proposed MBS and MiBS cooperative sensing scheme outperforms traditional single BS (MBS/MiBS) sensing scheme, showcasing superior sensing performance
title Target Localization with Macro and Micro Base Stations Cooperative Sensing
topic Signal Processing
url https://arxiv.org/abs/2405.02873