Abstract
To avoid the inherent defects of current airport surface surveillance systems, a distributed non-cooperative surface surveillance scheme based on geomagnetic sensor technology is proposed in this article. Furthermore, a surface target tracking algorithm based on improved interacting multiple model (WIMM) is presented for use when the target is perceptible. In this algorithm, the weighted sum of the mean values of the residual errors, which is used to reconstruct the model probabilistic likelihood function, and the Markov model transition probability are updated using posterior information. When a target is imperceptible, its trajectory can be predicted by the target identified motion model and the adaptive model transition probability. Simulation results show that the WIMM algorithm can be used efficiently together with an observed small sample of velocity information for target tracking and trajectory prediction. Compared with the interacting multiple model and residual-mean interacting multiple model algorithms, the frequency of model switching and the rate of model identification were increased during the imperceptible period, and target prediction error was greatly reduced.
Highlights
With the rapid development of China’s civil aviation transportation industry and the rapid growth in passenger and cargo throughput, the ground of large airports is becoming more and more crowded, and conflicts between aircraft and ground vehicles are more likely to occur
Airdrome surface surveillance relies mainly on Surface Monitoring Radar (SMR), Automatic Dependent Surveillance–Broadcast (ADS-B), and Multilateration (MLAT). These three surveillance approaches, have the following inherent defects: (1) SMR is susceptible to factors like buildings, ground clutter, and weather, and (2) MLAT and ADS-B can only monitor a target equipped with a transponder on the surface.[2]
To avoid the inherent defects of current airport surface surveillance systems, a distributed non-cooperative surface surveillance scheme based on geomagnetic sensor technology is proposed in this article
Summary
With the rapid development of China’s civil aviation transportation industry and the rapid growth in passenger and cargo throughput, the ground of large airports is becoming more and more crowded, and conflicts between aircraft and ground vehicles are more likely to occur. Due to the low density of the deployed nodes, the continuous motion state of a target at adjacent nodes could not be perceived To address this problem, an weighted interacting multiple model (WIMM) algorithm is presented, in which a small sample of target velocity information is used to accelerate model switching and increase the identification rate of the motion model. Moving targets in airport scenes include vehicles and aircraft, which are ferromagnetic objects that detect the position of non-cooperative targets based on magnetically induced anisotropic magnetoresistance geomagnetic sensors.
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