Quadrature compressive sampling SAR imaging

TL;DR

This paper introduces a quadrature compressive sampling method for SAR imaging that enables high-quality image reconstruction with only a quarter of the traditional data, utilizing a novel sensing matrix for faster computation.

Contribution

The paper proposes a new QuadCS AIC technique with independent spreading signals, resulting in lower correlation sensing matrices and faster SAR image reconstruction.

Findings

Reconstructed images with 25% of Nyquist data maintain quality.

Sensing matrix structure allows for fast matrix-vector multiplication.

Performance validated with real SAR data.

Abstract

This paper presents a quadrature compressive sampling (QuadCS) and associated fast imaging scheme for synthetic aperture radar (SAR). Different from other analog-to-information conversions (AIC), QuadCS AICs using independent spreading signals sample the SAR echoes due to different transmitted pulses. Then the resulting sensing matrix has lower correlation between any two columns than that by a fixed spreading signal, and better SAR image can be reconstructed. With proper setting of the spreading signals in QuadCS, the sensing matrix has the structures suitable for fast computation of matrix-vector multiplication operations, which leads to the fast image reconstruction. The performance of the proposed scheme is assessed using real SAR image. The reconstructed SAR images with only one-fourth of the Nyquist data achieve the image quality similar to that of the classical SAR images with Nyquist samples.