Saved in:
Bibliographic Details
Main Authors: Xu, Dongxiao, Li, Xinyang, Andrei, Vlad C., Wiese, Moritz, Moenich, Ullrich J., Boche, Holger
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2501.11687
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866909596417785856
author Xu, Dongxiao
Li, Xinyang
Andrei, Vlad C.
Wiese, Moritz
Moenich, Ullrich J.
Boche, Holger
author_facet Xu, Dongxiao
Li, Xinyang
Andrei, Vlad C.
Wiese, Moritz
Moenich, Ullrich J.
Boche, Holger
contents This paper presents a novel approach to enhance sensing capabilities in UAV-enabled MIMO-OFDM ISAC systems by leveraging UAV mobility as a mono-static radar. By integrating uniform planar arrays (UPAs) and modeling the UAV dynamics in $SE(3)$, we address key challenges such as 3D space sensing and trajectory design. We propose a target tracking scheme using extended Kalman filtering (EKF) in $SE(3)$, along with trajectory optimization based on the conditional Posterior Cramer-Rao bound (CPCRB). Numerical results demonstrate the effectiveness of the proposed trajectory design in enhancing performance of target tracking and physical parameter estimation in UAV-enabled MIMO-OFDM ISAC systems.
format Preprint
id arxiv_https___arxiv_org_abs_2501_11687
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle SE(3)-Based Trajectory Optimization and Target Tracking in UAV-Enabled ISAC Systems
Xu, Dongxiao
Li, Xinyang
Andrei, Vlad C.
Wiese, Moritz
Moenich, Ullrich J.
Boche, Holger
Signal Processing
This paper presents a novel approach to enhance sensing capabilities in UAV-enabled MIMO-OFDM ISAC systems by leveraging UAV mobility as a mono-static radar. By integrating uniform planar arrays (UPAs) and modeling the UAV dynamics in $SE(3)$, we address key challenges such as 3D space sensing and trajectory design. We propose a target tracking scheme using extended Kalman filtering (EKF) in $SE(3)$, along with trajectory optimization based on the conditional Posterior Cramer-Rao bound (CPCRB). Numerical results demonstrate the effectiveness of the proposed trajectory design in enhancing performance of target tracking and physical parameter estimation in UAV-enabled MIMO-OFDM ISAC systems.
title SE(3)-Based Trajectory Optimization and Target Tracking in UAV-Enabled ISAC Systems
topic Signal Processing
url https://arxiv.org/abs/2501.11687