Abstract
In the Air Traffic Control (ATC) systems, multi-sensor based fusion is essential for accurate target tracking and display.With the development of Automatic Dependent Surveillance-Broadcast (ADS-B) techniques in the ATC, detecting and correcting the position and time biases between a radar system and ADS-B is necessary. In this paper, a new approach for the radar to ADS-B registration is developed based on an alternating optimization technique. The algorithm uses ADS-B reports as a trusted reference of target position to compute not only the range and azimuth biases but also the time bias in radar measurements. The algorithm provides a robust and efficient solution for calibrating radar biases. With three scenarios, the simulation results show that the proposed algorithm can accurately estimate the radar biases with fast convergence.
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