Automatic dependent surveillance‐broadcast time delay estimation based on extended recursive maximum correntropy algorithm. Issue 8 (1st October 2016)

• Record Type: Journal Article
• Authors: Luan, Shengyang; Qiu, Tianshuang; Song, Aimin; Wang, Peng; Li, Jingchun; Tan, Haifeng
• Is Part Of: IET radar, sonar & navigation. Volume 10:Issue 8(2016)
• Page Start: 1500
• Page End: 1507
• Publication Date: 2016-10-01
• Subjects: surveillance -- broadcasting -- maximum entropy methods -- delay estimation -- satellite navigation -- aircraft navigation; automatic dependent surveillance‐broadcast time delay estimation -- ADS‐B time delay estimation -- extended recursive maximum correntropy algorithm -- EX‐RMC -- up‐to‐date surveillance technology -- civil aviation -- random time‐varying delay -- impulsive noise -- time‐varying state tracking; Signal processing -- Periodicals; Radar -- Periodicals; Sonar -- Periodicals; Electronics in navigation -- Periodicals; Navigation -- Periodicals; 621.3848
• DOI: 10.1049/iet-rsn.2015.0628
• Languages: English
• ISSNs: 1751-8784

Abstract

Abstract : In this study, a novel adaptive algorithm, termed extended recursive maximum correntropy (EX‐RMC), is proposed to estimate the time delay of automatic dependent surveillance‐broadcast (ADS‐B), an up‐to‐date surveillance technology in civil aviation. The proposed algorithm is designed to deal with both the random time‐varying delay and the impulsive noise. The superiority of EX‐RMC in tracking time‐varying state of an unknown plant has been verified by simulation experiments. On‐site experiments are also carried out to demonstrate the practical value of the ADS‐B time delay estimation method based on EX‐RMC.