Point Target Near-Field Bistatic Imaging: Chirp-Based Aliasing Analysis

TL;DR

This paper introduces a chirp-based analytical framework for understanding and mitigating aliasing in bistatic near-field imaging systems with multidimensional antenna arrays, aiding system design.

Contribution

It extends monostatic aliasing analysis to bistatic systems, providing closed-form expressions and geometric insights for aliasing-free imaging conditions.

Findings

Aliasing-free region increases with smaller antenna spacing

Larger target range reduces aliasing

Lower array dimensionality enlarges aliasing-free area

Abstract

This paper presents a chirp-based framework for characterising aliasing in a bistatic Near-Field (NF) imaging system equipped with multidimensional antenna arrays. Extending monostatic formulations, we derive closed-form expressions for the maximum spatial frequency, enabling the analytical derivations of the conditions for aliasing-free image reconstruction. The framework also provides a geometric interpretation of aliasing based on the antenna array geometry, target position, and antenna element spacing. Numerical results corroborate theoretical findings and show that the aliasing-free region enlarges with smaller antenna spacing, greater target range, lower array dimensionality, and smaller arrays. These results enable more effective design of bistatic NF imaging systems.