The signal-to-noise ratio analysis of coronal plane microwave correlation imaging based on azimuth one-dimensional array

Xiaoxu Yu, Dechun Li, Liuge Du and Hongwei Chu

Journal of Electromagnetic Waves and Applications, 2020, vol. 34, issue 1, 129-139

Abstract: Microwave correlation imaging is developed on the basis of the traditional radar imaging. It gets rid of the dependence of the traditional radar imaging on Doppler frequency, providing a new solution for the stationary or quasi-stationary target imaging. In this paper, the coronal plane microwave correlation imaging based on azimuth one-dimensional (1D) array was proposed. The resolution of the two-dimensional (2D) coronal plane along azimuth and elevation directions can be achieved by distributing the array in only one dimension without the synthetic aperture scanning in another dimension. By simulating the detection signals in the coronal plane region, it is determined this imaging method has the imaging resolution capability that is not available in the traditional SAR imaging in the coronal plane. The effectiveness of this imaging method was verified by the image reconstruction with three imaging algorithms. Moreover, the imaging performance including the signal-to-noise ratio was compared and analyzed.

Date: 2020
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DOI: 10.1080/09205071.2019.1690588

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