Electromagnetic Quantitative Inversion for Translationally Moving Targets via Phase Correlation Registration of Back-Projection Images

TL;DR

This paper introduces a new electromagnetic inversion method for moving targets using phase correlation of back-projection images, improving accuracy and noise robustness in MIMO radar imaging.

Contribution

It presents a novel framework combining phase correlation registration with iterative inversion, specifically incorporating CC-CSI for enhanced reconstruction of moving targets.

Findings

Accelerated convergence of the inversion algorithm

Improved reconstruction fidelity for moving targets

Enhanced noise immunity compared to traditional methods

Abstract

A novel electromagnetic quantitative inversion scheme for translationally moving targets via phase correlation registration of back-projection (BP) images is proposed. Based on a time division multiplexing multiple-input multiple-output (TDM-MIMO) radar architecture, the scheme first achieves high-precision relative positioning of the target, then applies relative motion compensation to perform iterative inversion on multi-cycle MIMO measurement data, thereby reconstructing the target's electromagnetic parameters. As a general framework compatible with other mainstream inversion algorithms, we exemplify our approach by incorporating the classical cross-correlated contrast source inversion (CC-CSI) into iterative optimization step of the scheme, resulting in a new algorithm termed RMC-CC-CSI. Numerical and experimental results demonstrate that RMC-CC-CSI offers accelerated convergence, enhanced reconstruction fidelity, and improved noise immunity over conventional CC-CSI for stationary targets despite increased computational cost.