301. Sparse Scenario Imaging for Active Radar in the Forward-Looking Direction
- Author
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Fenggang Yan, Xiaolin Qiao, Yinan Zhao, and Jun Wang
- Subjects
Hardware architecture ,Channel (digital image) ,Basis (linear algebra) ,Article Subject ,Computer science ,business.industry ,General Mathematics ,lcsh:Mathematics ,General Engineering ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,lcsh:QA1-939 ,law.invention ,symbols.namesake ,Compressed sensing ,law ,lcsh:TA1-2040 ,Radar imaging ,symbols ,Computer vision ,Artificial intelligence ,Radar ,business ,Representation (mathematics) ,lcsh:Engineering (General). Civil engineering (General) ,Doppler effect - Abstract
The resolution of multiple targets at the same range cell but different angles in the forward-looking direction is of great trouble for active radar. Based on compressive sensing (CS) framework, a sparse scenario imaging approach using joint angle-Doppler representation basis is proposed, which employs multisensor and single-receiver channel hardware architecture. Firstly, the joint angle-Doppler representation basis is formulated using the Doppler dictionary, and then the radar returns during multiple pulse repetition periods are modeled as the measurements with respect to a stationary sparse target scenario via the joint representation basis; in the end, the image of sparse target scenario is recovered using the single-receiver echoes. Numerical experiments demonstrate that the proposed method can provide an image of the spatial sparse scenario at the same range for active radar in the forward-looking direction.
- Published
- 2014
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