Aiming at the problem that the Gaussian Mixture Cardinality Balanced Multi-Target Multi-Bernoulli (GM-CBMeMBer) filters are limited to the fixed birth position and cannot provide track information, a labeled GM-CBMeMBer filter with adaptive one-step track initiation is proposed, which makes full use of the Doppler information of the airborne Doppler radar.In the predicting step, the proposed algorithm provides track information by introducing track label.After selecting the measurements that may correspond to the newborn targets, the position estimation and velocity estimation of newborn targets are calculated by using the converted position measurements and Doppler measurements respectively.In the updating step, the target states are updated sequentially by using Doppler measurements after they are updated with position measurements.The results of simulation show that the proposed algorithm performs well in track initiation and can effectively provide track information.