Novel Approach to Dual-Channel Estimation in Integrated Sensing and Communications for 6G

TL;DR

This paper introduces a novel dual-channel estimation method for integrated sensing and communication in 6G, focusing on millimeter wave radars to improve environmental sensing and communication accuracy.

Contribution

It presents new techniques for extracting and validating sensing and communication channels from monostatic measurements in mmWave radars, advancing ISAC integration.

Findings

Successful channel extraction and validation in controlled chamber experiments

Enhanced accuracy demonstrated through RMS DS, PDP, and AoA analysis

Comparison with Ray-Tracing simulations confirms effectiveness

Abstract

Integrated Sensing and Communication (ISAC) design is crucial for 6G and harmonizes environmental data sensing with communication, emphasizing the need to understand and model these elements. This paper delves into dual-channel models for ISAC, employing channel extraction techniques to validate and enhance accuracy. Focusing on millimeter wave (mmWave) radars, it explores the extraction of the bistatic sensing channel from monostatic measurements and subsequent communication channel estimation. The proposed methods involve interference extraction, module and phase correlation analyses, chirp clustering, and auto-clutter reduction. A comprehensive set-up in an anechoic chamber with controlled scenarios evaluates the proposed techniques, demonstrating successful channel extraction and validation through Root Mean Square Delay Spread (RMS DS), Power Delay Profile (PDP), and Angle of Arrival (AoA) analysis. Comparison with Ray-Tracing (RT) simulations confirms the effectiveness of the proposed approach, presenting an innovative stride towards fully integrated sensing and communication in future networks.