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- Title
Automatic Target Recognition Using Jet Engine Modulation and Time-Frequency Transform.
- Authors
Sang-Hong Park
- Abstract
We propose a method to recognize targets by using the signature of jet engine modulation (JEM) generated by the rotating blades in jet engines. The method combines time-frequency transform, 2-dimensional (2D) principal component analysis, and a nearest-neighbor classifier. In simulations using five propellers composed of isotropic point scatterers, the proposed method was insensitive to signal-tonoise SNR variation; this insensitivity was a result of the effective 2D time-frequency feature and the noise suppression by the matched filter. In simulations using a reduced training database, the result was most sensitive to variation in the rotation velocity of the blades.
- Subjects
MATHEMATICAL models; AUTOMATIC target recognition; AUTOMATIC detection in radar; JET plane sounds; TIME-frequency analysis; DETECTORS
- Publication
Progress in Electromagnetics Research M, 2014, Vol 39, p151
- ISSN
1937-8726
- Publication type
Article
- DOI
10.2528/pierm14100701