NDLI: Sharpening and bandwidth extrapolation techniques for radar micro-Doppler feature extraction

Content Provider	IEEE Xplore Digital Library
Author	Marple Jr., S.L.
Copyright Year	2003
Description	Author affiliation: Sch. of Electr. Eng. & Comput. Sci., Oregon State Univ., Corvallis, OR, USA (Marple, S.L., Jr.)
Abstract	This paper presents a time-frequency analysis sharpening technique based on bandwidth extrapolation (BWE). The method utilizes a new extremely high resolution 2D linear prediction/lattice algorithm to enhance instantaneous time and instantaneous frequency details of conventional short-time Fourier transform (STFT) time-frequency analysis (TFA). The approach preserves extreme high dynamic range (DNR), over 100 dB, in the data without introducing debilitating cross-term artifacts that severely obscure weak features in the TFA, such as those introduced by quadratic TFAs like the Wigner and Cohen TFA representations. We demonstrate the performance of the new high detail TFA for micro-Doppler feature extraction in actual X-band airborne moving target (AMTI) and ground-borne moving target (GMTI) applications. This paper illustrates the AMTI case; the GMTI will be provided at the conference.
Starting Page	166
Ending Page	170
File Size	406710
Page Count	5
File Format	PDF
ISBN	0780378709
DOI	10.1109/RADAR.2003.1278732
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-09-03
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Bandwidth Extrapolation Radar Feature extraction Time frequency analysis Dynamic range Signal analysis Two dimensional displays Lattices Fourier transforms
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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