Multi-site Radar Systems for High-Precision Indoor Positioning and Tracking

TL;DR

This paper presents a novel multi-site radar-based indoor positioning method using velocity synthesis-assisted localization, achieving centimeter-level accuracy with reduced hardware complexity and robustness to noise and multipath effects.

Contribution

The paper introduces a velocity synthesis-assisted localization algorithm for multi-site radars that improves accuracy and robustness without MIMO configurations or strict synchronization.

Findings

Achieves centimeter-level tracking accuracy in simulations and experiments.

Outperforms existing methods in complex trajectory tracking scenarios.

Remains robust under low SNR, multipath, and large synchronization latency.

Abstract

This paper introduces a high-precision indoor positioning and tracking method that utilizes multi-site single-input single-output (SISO) radar systems. We propose a novel velocity synthesis-assisted (VSA) localization algorithm that iteratively refines target position estimates within range bins by fusing radial velocity measurements from multiple radars. This approach ensures enhanced accuracy in both velocity and position estimation. Moreover, the inherent geometric constraints introduced by velocity synthesis enable the proposed algorithm to remain robust under low signal-to-noise ratio (SNR), severe multipath propagation, and large synchronization latency. Notably, our method eliminates the use of multiple-input-multiple-output (MIMO) configurations and stringent phase synchronization requirements, substantially reducing hardware complexity while maintaining high positioning accuracy. We define standardized reference trajectories to facilitate a comprehensive and reproducible performance evaluation. Extensive simulations and experimental validations demonstrate that our multi-site radar systems achieve centimeter-level tracking accuracy for human subjects, outperforming existing methods in complex trajectory tracking.