Low-Complexity Receiver Design for Affine Filter Bank Modulation

TL;DR

This paper introduces a low-complexity receiver for Affine Filter Bank Modulation in ISAC systems, utilizing Gaussian Belief Propagation to improve detection efficiency and performance in doubly-dispersive channels.

Contribution

It presents a novel receiver structure based on GaBP for AFBM, reducing complexity and enhancing performance over existing methods in high-mobility scenarios.

Findings

AFBM with GaBP outperforms AFDM in BER in DD channels

Achieves low out-of-band emissions in high-mobility scenarios

Uses only scalar operations for detection

Abstract

We propose a low-complexity receiver structure for the recently introduced Affine Filter Bank Modulation (AFBM) scheme, which is a novel waveform designed for integrated sensing and communications (ISAC) systems operating in doubly-dispersive (DD) channels. The proposed receiver structure is based on the Gaussian Belief Propagation (GaBP) framework, making use of only element-wise scalar operations to perform detection of the transmitted symbols. Simulation results demonstrate that AFBM in conjunction with GaBP outperforms affine frequency division multiplexing (AFDM) in terms of bit error rates (BERs) in DD channels, while achieving very low out-of-band emissions (OOBE) in high-mobility scenarios.