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http://dx.doi.org/10.12673/jant.2015.19.2.123

Robust Filtering Algorithm for Improvement of Air Navigation System  

Cho, Taehwan (Department of Electronics Engineering, Republic of Korea Air Force Academy)
Kim, Jinhyuk (Department of Electronics Engineering, Inha University)
Choi, Sangbang (Department of Electronics Engineering, Inha University)
Publication Information
Journal of Advanced Navigation Technology / v.19, no.2, 2015 , pp. 123-132 More about this Journal
Abstract
Among various fields of the CNS/ATM, the surveillance field which includes ADS-B system, MLAT system, and WAM system is implemented. These next generation systems provide superior performance in tracking aircrafts. However, They still have error. In this paper, filtering algorithm is proposed in order to enhance aircraft tracking performance of ADS-B, MLAT, and WAM systems. The proposed method is a Robust Interacting Multiple Model filter, called Robust IMM filter, that improves IMM filter. The Robust IMM filter can not only improves the aircraft tracking performance but also track aircraft continually using estimates calculated from the filter when data losses occur. The simulation results of the proposed aircraft tracking methods show that the filtering data provides a better performance up to an average of 19.21%.
Keywords
Automatic dependent surveillance - broadcast; Multilateration; Wide area multilateration; Interacting multiple model filter; Aviation system block upgrade;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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