Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/81593
Title: Airborne SAR Moving Target Signatures and Imagery Based on LVD
Authors: Yang, Lei
Bi, Guoan
Xing, Mengdao
Zhang, Liren
Keywords: Ground moving target imaging (GMTIm)
Synthetic aperture radar (SAR)
Time frequency representation (TFR)
Lv’s distribution (LVD)
Issue Date: 2015
Source: Yang, L., Bi, G., Xing, M., & Zhang, L. (2015). Airborne SAR Moving Target Signatures and Imagery Based on LVD. IEEE Transactions on Geoscience and Remote Sensing, 53(11), 5958-5971.
Series/Report no.: IEEE Transactions on Geoscience and Remote Sensing
Abstract: This paper presents a new ground moving target imaging (GMTIm) algorithm for airborne synthetic aperture radar (SAR) based on a novel time-frequency representation (TFR), Lv's distribution (LVD). We first analyze generic moving target signatures for a multichannel SAR and then derive the analytical spectrum of a point target moving at a constant velocity by a polar format algorithm for SAR image formation. SAR motion deviation from a predetermined flight track is considered to facilitate airborne SAR applications. LVD, as a recently developed TFR for the analysis of multicomponent linear-frequency-modulated signal, is adopted to represent the target kinematic spectrum in the Doppler centroid frequency and chirp rate domain. As a result, the proposed SAR-GMTIm algorithm is capable of imaging multiple moving targets even when they are located at the same range resolution cell. Some practical issues such as imaging maneuvering targets and small/weak targets are discussed to enhance the applicability of the proposed algorithm. Simulation results with isotropic point moving targets are presented to validate the effectiveness and superiority of the proposed algorithm. Raw data collected by an airborne multichannel SAR are also used to verify the performance improvement made by the proposed algorithm.
URI: https://hdl.handle.net/10356/81593
http://hdl.handle.net/10220/39557
ISSN: 0196-2892
DOI: 10.1109/TGRS.2015.2429678
Schools: School of Electrical and Electronic Engineering 
Rights: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/TGRS.2015.2429678].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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