CRB minimization for PASS Assisted ISAC

Fuente: arXiv
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Autores principales: Li, Haochen, Zhong, Ruikang, Lei, Jiayi, Zhiwen, Pan, Liu, Yuanwei
Formato: Preprint
Publicado: 2025
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author Li, Haochen
Zhong, Ruikang
Lei, Jiayi
Zhiwen, Pan
Liu, Yuanwei
author_facet Li, Haochen
Zhong, Ruikang
Lei, Jiayi
Zhiwen, Pan
Liu, Yuanwei
contents A multiple waveguide PASS assisted integrated sensing and communication (ISAC) system is proposed, where the base station (BS) is equipped with transmitting pinching antennas (PAs) and receiving uniform linear array (ULA) antennas. The PASS-transmitting-ULA-receiving (PTUR) BS transmits the communication and sensing signals through the stretched PAs on waveguides and collects the echo sensing signals with the mounted ULA. Based on this configuration, a target sensing Cramer Rao Bound (CRB) minimization problem is formulated under communication quality-of-service (QoS) constraints, power budget constraints, and PA deployment constraints. An alternating optimization (AO) method is employed to address the formulated non-convex optimization problem. Simulation results demonstrate that the proposed PASS assisted ISAC framework achieves superior performance over benchmark schemes.
format Preprint
id arxiv_https___arxiv_org_abs_2509_22181
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle CRB minimization for PASS Assisted ISAC
Li, Haochen
Zhong, Ruikang
Lei, Jiayi
Zhiwen, Pan
Liu, Yuanwei
Signal Processing
A multiple waveguide PASS assisted integrated sensing and communication (ISAC) system is proposed, where the base station (BS) is equipped with transmitting pinching antennas (PAs) and receiving uniform linear array (ULA) antennas. The PASS-transmitting-ULA-receiving (PTUR) BS transmits the communication and sensing signals through the stretched PAs on waveguides and collects the echo sensing signals with the mounted ULA. Based on this configuration, a target sensing Cramer Rao Bound (CRB) minimization problem is formulated under communication quality-of-service (QoS) constraints, power budget constraints, and PA deployment constraints. An alternating optimization (AO) method is employed to address the formulated non-convex optimization problem. Simulation results demonstrate that the proposed PASS assisted ISAC framework achieves superior performance over benchmark schemes.
title CRB minimization for PASS Assisted ISAC
topic Signal Processing
url https://arxiv.org/abs/2509.22181