Movable Antenna for Integrating Near-field Channel Estimation and Localization

2026-01-13

AI Summary

This work addresses the challenges of high-precision channel estimation and target localization in near-field integrated sensing and communication (ISAC) systems employing movable antennas. To this end, the authors propose a multi-stage design framework that partitions the antenna movement region, leverages Newtonized orthogonal matching pursuit (NOMP) for accurate angle estimation, and introduces a novel localized subregion ray clustering (LSRC) method to localize scatterers. Building upon these components, a location-aware feedback mechanism is developed to refine near-field channel estimation. As the first study to integrate movable antennas with near-field ISAC, the proposed approach significantly enhances both sensing accuracy and channel estimation performance, offering an efficient solution for next-generation near-field ISAC systems.

Technology Category

• Intelligent Robots: Localization, Mapping, and Navigation
• Search and Optimization: Local Search
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Location- and context-aware Web and WoT applications and services
• User Modeling, Personalization and Recommendation: On-Device user modeling, personalization, and recommendation
• Search and Retrieval-Augmented AI: Personalized, context-aware and across-device search

Abstract

Movable antenna (MA) introduces a new degree of freedom for future wireless communication systems by enabling the adaptive adjustment of antenna positions. Its large-range movement renders wireless channels transmission into the near-field region, which brings new performance enhancement for integrated sensing and communication (ISAC). This paper proposes a novel multi-stage design framework for broadband near-field ISAC assisted by MA. The framework first divides the MA movement area into multiple subregions, and employs the Newtonized orthogonal matching pursuit algorithm (NOMP) to achieve high-precision angle estimation in each subregion. Subsequently, a method called near-field localization via subregion ray clustering (LSRC) is proposed for identifying the positions of scatterers. This method finds the coordinates of each scatterer by jointly processing the angle estimates across all subregions. Finally, according to the estimated locations of the scatterers, the near-field channel estimation (CE) is refined for improving communication performance. Simulation results demonstrate that the proposed scheme can significantly enhance MA sensing accuracy and CE, providing an efficient solution for MA-aided near-field ISAC.

Problem

• movable antenna
• near-field
• channel estimation
• localization
• integrated sensing and communication

Innovation

• movable antenna
• near-field ISAC
• NOMP
• LSRC
• channel estimation