Probability hypothesis density filter for radar systematic bias estimation aided by ADS-B
ADS-B surveillance data is used as the high-accuracy reference source. Estimate the systematic bias without priori information of association. Dynamics model and measurement model of systematic bias of radar are developed. A PHD-filter-based bias estimation algorithm is proposed.
probability hypothesis density systematic bias estimation multi-sensor fusion automatic dependent surveillance broadcasting