Three-dimensional (3D) Channel Modeling between Seaborne MIMO Radar and MIMO Cellular System

TL;DR

This paper develops a 3D channel model for radar-to-cellular system interference, extending null space projection algorithms to mitigate interference effectively by utilizing azimuth and elevation angles.

Contribution

It introduces a novel 3D channel model and extends interference mitigation algorithms to improve spectrum sharing between radar and cellular systems.

Findings

Effective nulls can be placed using azimuth and elevation angles.

The 3D model accurately classifies the radar's search space.

Null space projection effectively mitigates interference.

Abstract

Sharing radar spectrum with communication systems is an emerging area of research. Deploying commercial wireless communication services in radar bands give wireless operators the much needed additional spectrum to meet the growing bandwidth demands. However, to enable spectrum sharing between these two fundamentally different systems interference concerns must be addressed. In order to assess interference concerns we design a three-dimensional (3D) channel model between radar and cellular base stations (BSs) in which the radar uses a two-dimensional (2D) antenna array and the BS uses a one-dimensional (1D) antenna array. We formulate a line-of-sight (LoS) channel and then propose an algorithm that mitigates radar interference to BSs. We extend the previously proposed null space projection algorithm for 2D channels to 3D channels and show that effective nulls can be placed by utilizing both the azimuth and elevation angle information of BSs. This results in effective interference mitigation. In addition we show that the 3D channel model allows us to accurately classify the size of radar's search space when null space projection algorithm is used for interference mitigation.