Background Subtraction with Drift Correction for Bistatic Radar Reflectivity Measurements

TL;DR

This paper presents a drift correction model for bistatic radar background subtraction, significantly improving the removal of antenna crosstalk in measurements relevant to 6G sensing and communication.

Contribution

We introduce a novel drift correction model that enhances background subtraction accuracy in bistatic radar measurements, addressing incoherence issues in anechoic chamber data.

Findings

Up to 40 dB improvement in crosstalk removal

Effective correction of instrumentation drift in 2-18 GHz range

Enhanced measurement accuracy for 6G sensing applications

Abstract

Fundamental research on bistatic radar reflectivity is highly relevant, e.g., to the upcoming mobile communication standard 6G, which includes integrated sensing and communication (ISAC). We introduce a model for correcting instrumentation drift during bistatic radar measurements in anechoic chambers. Usually, background subtraction is applied with the goal to yield the target reflection signal as best as possible while coherently subtracting all signals which were present in both the foreground and background measurement. However, even slight incoherences between the foreground and background measurement process deteriorate the result. We analyze these effects in real measurements in the frequency range 2-18 GHz, taken with the Bistatic Radar (BIRA) measurement facility at TU Ilmenau. Applying our proposed drift correction model, we demonstrate up to 40 dB improvement for the removal of direct line-of-sight antenna crosstalk over the state of the art.