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PIER PIER B PIER C PIER M PIER Letters
2012-12-18
Sparse Array Microwave 3-d Imaging: Compressed Sensing Recovery and Experimental Study
By
Shun-Jun Wei,

    Dr. Shun-Jun Wei

    School of Electronic Engineering

    University of Electronic Science and Technology of China

    China

    Homepage

Xiao-Ling Zhang,

    Dr. Xiao-Ling Zhang

    School of Electronic Engineering

    University of Electronic Science and Technology of China

    China

    Homepage

Jun Shi,

    Dr. Jun Shi

    School of Electronic Engineering

    University of Electronic Science and Technology of China

    China

    Homepage

Ke-Fei Liao

    Dr. Ke-Fei Liao

    School of Information and Communication

    Guilin University of Electronic Technology

    China

    Homepage

Progress In Electromagnetics Research, Vol. 135, 161-181, 2013
doi:10.2528/PIER12082305
Abstract
Microwave array 3-D imaging is an emerging technique capable of producing a 3-D map of scattered electric fields. Its all-weather and large scene imaging features make it an attractive powerful tool for target detection and feature extraction. Typically, a microwave array 3-D imaging system based on the classical sampling theory requires a large dense 2-D antenna array, which may suffer from a very high cost. To reduce the number of the antenna array elements, this paper surveys the use of compressed sensing recovery and sparse measurement strategies for microwave array 3-D imaging. Combining with the typical spatial sparsity of the underlying scene, we pose the sparse array microwave 3-D imaging as finding sparse solutions to under-determined linear equations. Further, to reduce the computational of the compressed sensing recovery with the large-scale echoes data, we divide the underlying 3-D scene into a series of equal-range 2-D slices, and deal with these slices separately using the orthogonal matching pursuit (OMP) algorithm. Lastly, the performance of the presented compressed sensing approach is verified by an X-band microwave array 3-D imaging system. The experimental results demonstrate that the compressed sensing approach can produce a better resolution 3-D image of the observed scatterers compared with the conventional method, especially in the case of very sparse activate antenna array.
Citation
Shun-Jun Wei, Xiao-Ling Zhang, Jun Shi, and Ke-Fei Liao, "Sparse Array Microwave 3-d Imaging: Compressed Sensing Recovery and Experimental Study," Progress In Electromagnetics Research, Vol. 135, 161-181, 2013.
doi:10.2528/PIER12082305
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