Cross Validation Based Distributed Greedy Sparse Recovery for Multiview Through-the-Wall Radar Imaging
Joint Authors
Qu, Lele
An, Shimiao
Sun, Yanpeng
Source
International Journal of Antennas and Propagation
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-04-09
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Multiview through-the-wall radar imaging (TWRI) can improve the imaging quality and target detection by exploiting the measurement data acquired from various views.
Based on the established joint sparsity signal model for multiview TWRI, a cross validation (CV) based distributed greedy sparse recovery algorithm which combines the strengths of the CV technique and censored simultaneous orthogonal matching pursuit algorithm (CSOMP) is proposed in this paper.
The developed imaging algorithm named by CV-CSOMP which separates the total measurements into reconstruction measurements and CV measurements is able to achieve the accurate imaging reconstruction and estimation of recovery error tolerance by the iterative CSOMP calculation.
The proposed CV-CSOMP imaging algorithm not only can reduce the communication costs among radar units, but also can provide the desirable imaging performance without the prior information such as the sparsity or noise level.
The experimental results have verified the validity and effectiveness of the proposed imaging algorithm.
American Psychological Association (APA)
Qu, Lele& An, Shimiao& Sun, Yanpeng. 2019. Cross Validation Based Distributed Greedy Sparse Recovery for Multiview Through-the-Wall Radar Imaging. International Journal of Antennas and Propagation،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1157577
Modern Language Association (MLA)
Qu, Lele…[et al.]. Cross Validation Based Distributed Greedy Sparse Recovery for Multiview Through-the-Wall Radar Imaging. International Journal of Antennas and Propagation No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1157577
American Medical Association (AMA)
Qu, Lele& An, Shimiao& Sun, Yanpeng. Cross Validation Based Distributed Greedy Sparse Recovery for Multiview Through-the-Wall Radar Imaging. International Journal of Antennas and Propagation. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1157577
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1157577