Phaseless Radar Coincidence Imaging with a MIMO SAR Platform

Abstract

The correlation-based synthetic aperture radar imaging technique, termed radar coincidence imaging, is extended to a fully multistatic multiple-input multiple-output (MIMO) synthetic aperture radar (SAR) configuration. Within this framework, we explore two distinct processing schemes: incoherent processing of intensity data, obtained using asynchronous receivers and inspired by optical ghost imaging works, and coherent processing with synchronized array elements. Improvement in resolution and image quality is demonstrated in both cases using numerical simulations that model an airborne MIMO SAR system at microwave frequencies. Finally, we explore methods for reducing measurement times and computational loads through compressive and gradient image reconstruction using phaseless data.

Hardware Enabled Acceleration of Near-Field Coded Aperture Radar Physical Model for Millimetre-Wave Computational Imaging

“…Combined with the hardware simplification facilitated by the CI technique, FPGAparallelization of the CI physical model exhibits a significant potential for reducing the computational latency of CI radars. It is worth mentioning that in spite of being shown for radar imaging, the validity of the presented approach is independent of the type of specific application considered, and this technique can be readily adopted across a wide application spectrum in CI, from security-screening [22,33,43] to automotive radars [4] and computational remote sensing techniques [6]. This is because the compression of the back-scattered data on the physical layer is the same for such applications.…”

“…They are also used for imaging purposes. Imaging at millimetre-waves (mmW) has many applications such as security screening [1][2][3], automotive radars [4,5], coincidence imaging [6], autonomous robotics [7][8][9], remote sensing [10][11][12], and concealed weapon detection [13][14][15]. In comparison to optical modalities, mmW signals can penetrate most optically opaque materials and operate in all-weather conditions.…”

Polarization-sensitive-metasurface-based microwave computational ghost imaging

“…Microwave computational ghost imaging (CGI) (MCGI) is based on the CGI scheme proposed by Shapiro [8]. In recent years, there have been many studies of MCGI, and a multi-transmitter-single-receiver architecture has been proposed [9][10][11][12][13][14][15][16][17][18][19][20][21][22]. However, when there is an error in an array composed of multiple transmitters, it will affect the reconstruction results of MCGI.…”