Multistatic sensing for target localization in ISAC systems

Integrated sensing and communication (ISAC) plays a vital role as a foundational technology for upcoming wireless communication standards. Current research focuses on investigating the use of a standardized communication waveform to obtain radar parameters while performing communication functions si...

Full description

Saved in:
Bibliographic Details
Main Author: Zhuge, Shun
Other Authors: Lin Zhiping
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/175876
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-175876
record_format dspace
spelling sg-ntu-dr.10356-1758762024-05-10T15:49:57Z Multistatic sensing for target localization in ISAC systems Zhuge, Shun Lin Zhiping School of Electrical and Electronic Engineering EZPLin@ntu.edu.sg Engineering Multistatic sensing ISAC Target localization Integrated sensing and communication (ISAC) plays a vital role as a foundational technology for upcoming wireless communication standards. Current research focuses on investigating the use of a standardized communication waveform to obtain radar parameters while performing communication functions simultaneously, known as communication-centric ISAC design. However, the radar parameters obtained through the ISAC receiver may differ from those of traditional radar, and not all traditional sensing models are suitable for ISAC applications. Therefore, dedicated localization algorithms are needed for sensing functions in the ISAC system. This dissertation explores innovative and sophisticated approaches for localizing moving targets using multistatic sensing within the ISAC framework. Two geometric solutions for target localization are proposed using radar parameters obtained from the ISAC receiver, including the bistatic range (BR), the bistatic range rate (BRR), and the direction of arrival (DOA). The first localization algorithm can estimate the position and the velocity of a moving target in an ISAC system with static transmitters, such as base stations. The second localization algorithm operates when transmitters are mobile, such as user equipment (UE). The proposed localization algorithms aim to overcome the limitations of existing multistatic sensing algorithms, specifically the two-step weighted least square (2SWLS) methods, by addressing the minimum requirements of available transmitter-receiver pairs. Additionally, the two proposed methods demonstrate superior performance compared to existing 2SWLS methods, particularly in accurately estimating the position and velocity of the target under identical circumstances. Master's degree 2024-05-08T08:21:08Z 2024-05-08T08:21:08Z 2024 Thesis-Master by Coursework Zhuge, S. (2024). Multistatic sensing for target localization in ISAC systems. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175876 https://hdl.handle.net/10356/175876 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering
Multistatic sensing
ISAC
Target localization
spellingShingle Engineering
Multistatic sensing
ISAC
Target localization
Zhuge, Shun
Multistatic sensing for target localization in ISAC systems
description Integrated sensing and communication (ISAC) plays a vital role as a foundational technology for upcoming wireless communication standards. Current research focuses on investigating the use of a standardized communication waveform to obtain radar parameters while performing communication functions simultaneously, known as communication-centric ISAC design. However, the radar parameters obtained through the ISAC receiver may differ from those of traditional radar, and not all traditional sensing models are suitable for ISAC applications. Therefore, dedicated localization algorithms are needed for sensing functions in the ISAC system. This dissertation explores innovative and sophisticated approaches for localizing moving targets using multistatic sensing within the ISAC framework. Two geometric solutions for target localization are proposed using radar parameters obtained from the ISAC receiver, including the bistatic range (BR), the bistatic range rate (BRR), and the direction of arrival (DOA). The first localization algorithm can estimate the position and the velocity of a moving target in an ISAC system with static transmitters, such as base stations. The second localization algorithm operates when transmitters are mobile, such as user equipment (UE). The proposed localization algorithms aim to overcome the limitations of existing multistatic sensing algorithms, specifically the two-step weighted least square (2SWLS) methods, by addressing the minimum requirements of available transmitter-receiver pairs. Additionally, the two proposed methods demonstrate superior performance compared to existing 2SWLS methods, particularly in accurately estimating the position and velocity of the target under identical circumstances.
author2 Lin Zhiping
author_facet Lin Zhiping
Zhuge, Shun
format Thesis-Master by Coursework
author Zhuge, Shun
author_sort Zhuge, Shun
title Multistatic sensing for target localization in ISAC systems
title_short Multistatic sensing for target localization in ISAC systems
title_full Multistatic sensing for target localization in ISAC systems
title_fullStr Multistatic sensing for target localization in ISAC systems
title_full_unstemmed Multistatic sensing for target localization in ISAC systems
title_sort multistatic sensing for target localization in isac systems
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/175876
_version_ 1814047122828296192