Curvilinear Aperture Monopulse

TL;DR

This paper introduces a monopulse method for curvilinear aperture radar that efficiently extracts three-dimensional scene information, overcoming limitations of linear synthetic aperture collections.

Contribution

It presents a novel non-iterative monopulse approach leveraging vertical curvature to derive 3D scene information from curvilinear aperture data.

Findings

Enables 3D scene reconstruction from curvilinear aperture data.

Provides a non-iterative computation compatible with existing image formation algorithms.

Demonstrates effectiveness through theoretical analysis and simulations.

Abstract

By a symmetry argument, a synethic aperture radar collection along a linear path does not collect three-dimensional information about the scene. However, it is known that vertical curvature can be used to derive some vertical position information. This paper approaches the problem from a monopulse perspective, resulting in a non-iterative computation that commutes with efficient image formation algorithms.