DocumentCode
741299
Title
Automatic algorithm for estimating the jet engine blade number from the radar target signature of aircraft targets
Author
Woo Yong Yang ; Ji Hoon Park ; Jun Woo Bae ; Noh Hoon Myung ; Chan Hong Kim
Author_Institution
Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea
Volume
30
Issue
7
fYear
2015
fDate
7/1/2015 12:00:00 AM
Firstpage
18
Lastpage
29
Abstract
Radar is a powerful tool for detecting and tracking airborne targets by day and night. Nowadays, noncooperative target recognition (NCTR) is considered an important subject. NCTR means technologies provide high-resolution target signatures and use them to make some decisions about the type of target that has been detected. Clearly, this function is performed with no cooperation from the target concerned, and it may even not be aware that its signature is being measured for recognition purposes [1]. Jet engine modulation (JEM) [2]-[4] generated by the engine rotation in an aircraft has been used for radar-based NCTR purposes, along with high-resolution range profile and inverse synthetic aperture radar (ISAR) [5]-[7]. Recognition by JEM uses micro-Doppler features induced by a rotating jet engine compressor. The micro-Doppler is characterized by a time-dependent Doppler shift that is different from that caused by the target bulk motion.
Keywords
Doppler radar; Doppler shift; airborne radar; blades; jet engines; object recognition; radar detection; synthetic aperture radar; Doppler shift; JEM; airborne target; aircraft target detection; high-resolution target signature; inverse synthetic aperture radar; jet engine blade number estimation; jet engine modulation; micro-Doppler features; noncooperative target recognition; radar target signature; radar-based NCTR; rotating jet engine compressor; target bulk motion; Algorithm design and analysis; Estimation; Harmonic analysis; Jet engines; Radar tracking; Target tracking;
fLanguage
English
Journal_Title
Aerospace and Electronic Systems Magazine, IEEE
Publisher
ieee
ISSN
0885-8985
Type
jour
DOI
10.1109/MAES.2015.140159
Filename
7235040
Link To Document