Efficient Field Reconstruction Using Compressive Sensing

被引：19

作者：

Austin, Andrew C. M. ^{[1
]}

Neve, Michael J. ^{[1
]}

机构：

[1] Univ Auckland, Dept Elect & Comp Engn, Auckland 1142, New Zealand

来源：

IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION | 2018年 / 66卷 / 03期

关键词：

Channel modeling; compressive sensing; radio-wave propagation; PROPAGATION; ARRIVAL; ANGLE;

D O I：

10.1109/TAP.2018.2794371

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Compressive sensing is used to reconstruct the time-harmonic electric field created by multipath fading from a limited number of measurement points over a planar region. The multipath fading signal is shown to be the superposition of multiple plane wave components and thus has a sparse representation in the spatial-frequency domain. The discrete Fourier basis used as the dictionary for orthogonal matching pursuit is oversampled to ensure sufficient resolution in the spatial-frequency domain. Experimental results at 10 GHz using an arbitrary plane wave expansion show that the signal-to-error ratio of the compressive sensing reconstruction is approximately 16 dB when randomly selecting only 7.5% of the total points.

引用

页码：1624 / 1627

页数：4

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