Extended Target Adaptive Beamforming for ISAC:A Perspective of Predictive Error Ellipse
Shengcai Zhou, Luping Xiang, Yi Wang, Kun Yang, Kai Kit Wong, and Chan-Byoung Chae

TL;DR
This paper develops novel beamforming schemes for V2X communication that improve radar sensing and tracking of extended targets by utilizing predictive error ellipses, leading to significant performance gains.
Contribution
It introduces two new beamforming strategies based on error ellipse prediction and adaptive narrowest-beam design for enhanced extended target tracking in V2X systems.
Findings
Up to 32.4% increase in achievable rate with a 32x32 antenna array.
5.2% performance gain with an 8x8 array.
Validated through simulations demonstrating improved localization and tracking.
Abstract
Utilizing communication signals to extract motion parameters has emerged as a key direction in Vehicle-to- Everything (V2X) networks. Accurately modeling the relationship between communication signals and sensing performance is critical for the advancement of such systems. Unlike prior work that relies primarily on qualitative analysis, this paper derives the Cram\'er-Rao Bound (CRB) for radar parameter estimation in the context of Orthogonal Frequency Division Multiplexing (OFDM) waveforms and Uniform Planar Array (UPA) configurations. Recognizing that vehicles may act as extended targets, we propose two New Radio (NR)-V2X-compatible beamforming schemes tailored to different phases of the communication process. During the initial beam establishment phase, we develop a beamforming approach based on the union of predictive error ellipses, which enhances scatterer localization through…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRadar Systems and Signal Processing · Direction-of-Arrival Estimation Techniques · Advanced SAR Imaging Techniques
