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https://hdl.handle.net/10356/87738
Title: | Multiple input multiple output radar imaging based on multidimensional linear equations and sparse signal recovery | Authors: | Ma, Changzheng Yeo, Tat Soon Ng, Boon Poh |
Keywords: | Multidimensional Linear Equations MIMO Radar |
Issue Date: | 2018 | Source: | Ma, C., Yeo, T. S., & Ng, B. P. (2018). Multiple input multiple output radar imaging based on multidimensional linear equations and sparse signal recovery. IET Radar, Sonar & Navigation, 12(1), 3-10. | Series/Report no.: | IET Radar, Sonar & Navigation | Abstract: | Multiple input multiple output (MIMO) radar forms large virtual aperture and improves the cross-range resolution of radar imaging. Sparse signal recovery algorithms can be used to improve image quality of target with sparse property in spatial domain. Conventional sparse signal recovery-based MIMO radar imaging method rearranges the received two-dimensional (2D) or 3D signals into a vector, then linear equations describing the relation between the received signal and the reflectivity of the scatterers are solved. However, this method occupies huge memory spaces and increases the computational load. In this study, by introducing synthetic codes, multidimensional linear equations of MIMO radar imaging are derived, which occupy less memory spaces and cost less computationally. A L1 L0 norms homotopy sparse signal recovery algorithm for multidimensional linear equations is used to recover the image. Simulation results verify the high efficiency of using multidimensional linear equations. | URI: | https://hdl.handle.net/10356/87738 http://hdl.handle.net/10220/45479 |
ISSN: | 1751-8784 | DOI: | 10.1049/iet-rsn.2017.0149 | Schools: | School of Electrical and Electronic Engineering | Rights: | © 2017 Institution of Engineering and Technology. This paper was published in IET Radar, Sonar & Navigation and is made available as an electronic reprint (preprint) with permission of Institution of Engineering and Technology. The published version is available at: [http://dx.doi.org/10.1049/iet-rsn.2017.0149]. 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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Multiple input multiple output radar imaging based on multidimensional linear equations and sparse signal recovery.pdf | 2.55 MB | Adobe PDF | View/Open |
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