Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/82891
Title: SAR ground moving target estimation and imaging by using Lv's distribution
Authors: Yang, Lei
Zhao, Lifan
Wang, Lu
Bi, Guoan
Keywords: Doppler radar
Chirp
Clutter
Doppler effect
Estimation
FM radar
image representation
radar imaging
synthetic aperture radar
Accuracy
Issue Date: 2015
Source: Yang, L., Zhao, L., Wang, L., & Bi, G. (2015). SAR ground moving target estimation and imaging by using Lv's distribution. 2015 16th International Radar Symposium (IRS).
Conference: 2015 16th International Radar Symposium (IRS)
Abstract: This paper presents a new SAR ground moving target estimation and imaging algorithm based on a novel Lv’s distribution (LVD). LVD is a recently developed time-frequency representation method for multicomponent linear frequency modulated (LFM) signal. Therefore, the proposed algorithm has superior performance in multiple moving target imaging scenario. By using LVD to represent the multiple moving targets in Doppler centroid frequency and chirp rate domain, each targets’ Doppler parameters can be easily read, and the target velocities in both slant-range and along-track directions can be estimated accurately. Focused target responses for multiple moving targets can be obtained simultaneously by simply matched-filtering or other advanced approaches. Point target simulations are designed and carried out to validate the effectiveness and superiority of the proposed algorithm.
URI: https://hdl.handle.net/10356/82891
http://hdl.handle.net/10220/40379
DOI: 10.1109/IRS.2015.7226293
Schools: School of Electrical and Electronic Engineering 
Rights: © 2016 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/IRS.2015.7226293].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

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