Sparse Reconstruction for Radar Imaging Based on Quantum Algorithms

The sparse-driven radar imaging can obtain high-resolution images about a target scene with the down-sampled data. However, the huge computational complexity of the classical sparse recovery method for the particular situation seriously affects the practicality of the sparse imaging technology. In t...

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Veröffentlicht in:	IEEE geoscience and remote sensing letters Jg. 19; S. 1 - 5
Hauptverfasser:	Liu, Xiaowen, Dong, Chen, Luo, Ying, Kang, Le, Liu, Yong, Zhang, Qun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Circuit design Complexity Compressive sensing (CS) Computational complexity Computer applications Image reconstruction Image resolution Imaging Imaging techniques Logic gates Mathematical model quantum algorithm Quantum circuit Radar Radar data Radar imaging Recovery Registers sparse recovery
ISSN:	1545-598X, 1558-0571
Online-Zugang:	Volltext
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