| Citation: | CHEN Weishi, HUANG Yifeng, LU Xianfeng, et al. Estimating number of birds around airport based on avian radar[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(8): 1533-1542. doi: 10.13700/j.bh.1001-5965.2020.0278(in Chinese)
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A multi-target automatic initiation and tracking algorithm suitable for avian radar data is proposed to realize the statistical analysis of the number of bird targets in the hot spots of bird activities around the airport. The algorithm estimates the probability of association between the measurement and all possible events by data association, including the birth, continuation and extinction of the target, as well as the elimination of clutter. The smooth trajectory of each target is estimated by the Kalman filter and smoothing method, and the whole life cycle management of the target is realized. The simulation results show that the algorithm can realize multi-target automatic initiation and tracking in clutter environment, estimate the start and end time of each target correctly, and count the change of the number of targets, and it is obviously better than the traditional logic method in the timeliness of target initiation. Finally, the algorithm is applied to the airport avian radar data to estimate the number of birds around the airport, leading the airport to carry out targeted bird strike prevention measures.
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