Antenna Lever Arm Calibration

Antenna lever arm calibration focuses on precisely determining the relative positions of multiple antennas within a system, crucial for accurate positioning and data fusion in applications like autonomous driving and robotics. Research emphasizes robust calibration methods, employing techniques like optimization algorithms (including globally optimal approaches and Lagrangian duality) and machine learning models (such as Gaussian processes) to address challenges posed by limited motion and diverse hardware architectures. Accurate calibration significantly improves the precision of localization systems, impacting fields ranging from autonomous navigation to high-fidelity wireless communication.