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arXiv · 2608.09383

Movable Antenna Enhanced Wireless Sensing via Steering Vector Correlation and CRB Optimization

Chengzhi Ye·Ruoyu Zhang·Shichao Wei·Wen Wu·Byonghyo Shim
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Abstract

In this paper, we investigate the angle-of-arrival (AoA) estimation problem for wireless sensing systems equipped with movable antennas (MA). To achieve high estimation performance and accuracy, we formulate a joint optimization problem integrating the sidelobes of steering vector correlation (SVC) and the Cram\'er-Rao bound (CRB). We first mathematically transform the SVC and the CRB into tractable objective functions. Specifically, we introduce a proxy variable and apply a discrete grid search strategy to overcome the intractability of optimizing the SVC with unknown target angles. Concurrently, we derive a generalized lower bound for the CRB, which yields a scalar function of the MA positions. Guided by the transformed objective, we propose a successive convex approximation-based position optimization algorithm. The proposed algorithm handles the non-convex terms by employing first order Taylor expansions within a defined trust region, which allows the MA positions to be updated incrementally in each iteration. Simulation results demonstrate that the proposed algorithm achieves superior AoA estimation performance.

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Chengzhi Ye, Ruoyu Zhang, Shichao Wei, Wen Wu, Byonghyo Shim. 2026-08-10. Movable Antenna Enhanced Wireless Sensing via Steering Vector Correlation and CRB Optimization. https://arxiv.org/abs/2608.09383

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