# Burg-Aided 2D MIMO Array Extrapolation for Improved Spatial Resolution

## TL;DR

This paper proposes using the Burg algorithm to extrapolate a 2D MIMO array, improving spatial resolution while reducing physical size and antenna elements.

## Contribution

A novel method for 2D MIMO array extrapolation using the Burg algorithm to enhance angular resolution and reduce hardware requirements.

## Key findings

- The Burg algorithm significantly improves angular resolution beyond the virtual array.
- The method reduces the physical size and number of antenna elements in the MIMO array.
- Experimental validation at 77 GHz confirms the effectiveness of the proposed approach.

## Abstract

In this paper, the extrapolation of a 2D multiple-input multiple-output (MIMO) array is proposed using the Burg algorithm to achieve higher angular resolution beyond that of the corresponding 2D MIMO virtual array. The main advantage of such an approach is that it allows us to dramatically decrease both the physical size and the number of antenna elements of the MIMO array. The performance and limitations of the Burg algorithm are examined through both simulation and experimentation at 77 GHz. The experimental methodology used to acquire 3D data of range, azimuth and elevation information with the 1D MIMO off-the-shelf radar is described. Using this method, the performance of the proposed array can be tested experimentally, especially at frequencies where it is desired to assess the antenna response prior to fabricating the antenna.