Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/101382
Title: Target detection from microwave imaging based on random sparse array and compressed sensing
Authors: Huang, Ling
Lu, Yi Long
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2013
Source: Huang, L. & Lu, Y. L. (2013). Target detection from microwave imaging based on random sparse array and compressed sensing. Progress in electromagnetics research B, 53, 333-354.
Series/Report no.: Progress in electromagnetics research B
Abstract: This paper proposes an imaging scheme using a random sparse array (RSA) structure for radar target detection using compressed sensing (CS). The array collects sparse measurements with less collection time and data storage. Two schemes of the RSA are considered, random SAR mode and random array mode. Performances of both static and moving target detections are investigated. Performance of RSA with CS is compared with that using full SAR data with conventional back-projection (BP) method for static target detection and full uniform linear array (ULA) data with conventional beamforming (CBF) method for moving target detection. Simulation and real experimental tests are provided to verify the proposed target imaging scheme. Results show that RSA imaging with CS can perform better than normal SAR and ULA with conventional imaging methods. However, when environment is complicated and background too noisy, CS may have degraded performance.
URI: https://hdl.handle.net/10356/101382
http://hdl.handle.net/10220/18636
Rights: © EMW Publishing. This paper was published in Progress in Electromagnetics Research B and is made available as an electronic reprint (preprint) with permission of EMW publishing. The paper can be found at the following official URL: [http://www.jpier.org/PIERB/pier.php?paper=13051701].  One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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