Fourier-Based Imaging for Subsampled Multistatic Arrays

• Published in: IEEE transactions on antennas and propagation Vol. 64; no. 6; pp. 2557 - 2562
• Main Authors: Alvarez, Yuri, Rodriguez-Vaqueiro, Yolanda, Gonzalez-Valdes, Borja, Las-Heras, Fernando, Garci-Pino, Antonio
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-06-2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Antennas; Apertures; Arrays; Backpropagation; Bandpass filters; Fast Fourier Transform (FFT); Imaging; Imaging Systems; Millimeter wave radar; Multistatic radar system; Plane waves; Radar; Radar imaging; Receivers; Sparse Array; Spectra; Spectral analysis; Transmitters; Backpropagation; fast Fourier transform (FFT); multistatic radar system; imaging systems; sparse array
• ISSN: 0018-926X; 1558-2221
• DOI: 10.1109/TAP.2016.2550035

This contribution focuses on the limitations of Fourier-based imaging when applied to subsampled arrays used in multistatic millimeter-wave radar systems. The aim is to determine the relationship between the size of the object under test (OUT), its position with respect to the radar aperture, and the sampling requirements on the aperture so as to recover aliasing-free images. Based on the analysis results, a method for recovering spectral information is proposed, the idea of which is to replicate the plane wave spectrum, and then apply a band-pass filter defined by a priori knowledge of the OUT size. For simplicity, the analysis is done in two-dimensional (2-D; range and cross-range dimensions). A simulation-based application is presented for validation purposes.