Short-Wave Aviation Communication Signal Analysis and Aircraft Classification

Author

Liu Feng ; Li Xueyao ; Liang Zhilan

Author_Institution

Harbin Eng. Univ., Harbin

fYear

2008

fDate

18-20 Oct. 2008

Firstpage

114

Lastpage

118

Abstract

This paper investigates how to classify the type of the aircraft based on the aviation communication signal. Hilbert-Huang Transform (HHT) is introduced to adaptively decompose the cockpit voice into several IMFs, then the IMFs can be used as the features of the aircraft for identifying the type. To alleviate the problem of mode mixing caused by the signal intermittency in EMD, a novel method EEMD is applied here in decomposing short-wave aviation communication. The results show that the performance of HHT based on EEMD is better than that of original EMD in decomposition and classification.

Keywords

Hilbert transforms; aircraft communication; signal classification; EEMD method; Hilbert-Huang transform; aircraft classification; ensemble empirical mode decomposition; short-wave aviation communication; signal analysis; Aerospace engineering; Aerospace safety; Aircraft propulsion; Geophysics; Marine safety; Monitoring; National security; Radar detection; Radar imaging; Signal analysis; EEMD; EMD; HHT; SVM; Short-wave Aviation Communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Computational Sciences, 2008. IMSCCS '08. International Multisymposiums on

Conference_Location

Shanghai

Print_ISBN

978-0-7695-3430-5

Type

conf

DOI

10.1109/IMSCCS.2008.24

Filename

4760307