Zhang, Rui and Li, Gang and Clemente, Carmine and Varshney, Pramod K. (2015) Helicopter classification via period estimation and time-frequency masks. In: 6th IEEE Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2015), 2015-12-13 - 2015-12-16.
Zhang_etal_CAMSAP_2015_helicopter_classification_via_period_estimation_and_time_frequency_masks.pdf - Accepted Author Manuscript
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The rotation of blades of a helicopter induces a Doppler modulation around the main Doppler shift, which is commonly called the micro-Doppler signature and can be used for target classification. In this paper, an automatic helicopter classification method is proposed by estimating the period of the micro-Doppler signature and identifying the number of blades via time-frequency masks. The advantages of this method are threefold: (1) it determines the number of blades automatically; (2) it significantly reduces the computational burden compared to the classical model dictionary-based classification methods; (3) it is robust with respect to the inclination of the helicopter. The effectiveness of the proposed approach is validated by using both synthetic and real data.
|Item type:||Conference or Workshop Item (Paper)|
|Notes:||(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works|
|Keywords:||micro-doppler, helicopter classification, time-frequency analysis, radar signal processing, signal classification, doppler radar, Electrical engineering. Electronics Nuclear engineering, Aerospace Engineering, Signal Processing|
|Subjects:||Technology > Electrical engineering. Electronics Nuclear engineering|
|Department:||Faculty of Engineering > Electronic and Electrical Engineering|
|Depositing user:||Pure Administrator|
|Date Deposited:||01 Aug 2016 10:39|
|Last modified:||01 Apr 2017 06:15|