Sparse Scenario Imaging for Active Radar in the Forward-Looking Direction

Jun Wang, Fenggang Yan, Yinan Zhao and Xiaolin Qiao

Mathematical Problems in Engineering, 2014, vol. 2014, 1-12

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.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:653208

DOI: 10.1155/2014/653208

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