23 January 2017 An airport surface surveillance solution based on fusion algorithm
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Proceedings Volume 10322, Seventh International Conference on Electronics and Information Engineering; 1032215 (2017) https://doi.org/10.1117/12.2265219
Event: Seventh International Conference on Electronics and Information Engineering, 2016, Nanjing, China
Abstract
In this paper, we propose an airport surface surveillance solution combined with Multilateration (MLAT) and Automatic Dependent Surveillance Broadcast (ADS-B). The moving target to be monitored is regarded as a linear stochastic hybrid system moving freely and each surveillance technology is simplified as a sensor with white Gaussian noise. The dynamic model of target and the observation model of sensor are established in this paper. The measurements of sensors are filtered properly by estimators to get the estimation results for current time. Then, we analysis the characteristics of two fusion solutions proposed, and decide to use the scheme based on sensor estimation fusion for our surveillance solution. In the proposed fusion algorithm, according to the output of estimators, the estimation error is quantified, and the fusion weight of each sensor is calculated. The two estimation results are fused with weights, and the position estimation of target is computed accurately. Finally the proposed solution and algorithm are validated by an illustrative target tracking simulation.
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Jianliang Liu, Yang Xu, Xuelin Liang, Yihuang Yang, "An airport surface surveillance solution based on fusion algorithm", Proc. SPIE 10322, Seventh International Conference on Electronics and Information Engineering, 1032215 (23 January 2017); doi: 10.1117/12.2265219; https://doi.org/10.1117/12.2265219
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