Near-Field SAR Imaging of Moving Targets on Roads

TL;DR

This paper presents a novel near-field SAR imaging algorithm tailored for detecting and imaging moving targets on roads, leveraging a fast backprojection method optimized for circular trajectories and near-field conditions.

Contribution

It introduces a new single-channel SAR algorithm with a fast backprojection approach that improves efficiency and accuracy in near-field moving target imaging on roads.

Findings

Enhanced detection of moving and stationary vehicles

Efficient imaging with multi-level interpolation and aggregation

Effective in near-field circular trajectory scenarios

Abstract

This paper introduces a single-channel SAR algorithm designed to detect and produce high-fidelity images of moving targets in spotlight mode. The proposed fast backprojection algorithm utilizes multi-level interpolations and aggregation of coarse images produced from partial datasets. Specifically designed for near-field scenarios and assuming a circular radar trajectory, the algorithm demonstrates enhanced efficiency in detecting both moving and stationary vehicles on roads.