This repository contains the code for the compressed decoupled estimation and input-based fusion (PLAIN) architecture, aiming for scalable and flexible parameter estimation in the context of integrated sensing and communication (ISAC).
The work is currently available as a preprint here: PLAIN: Scalable Estimation Architecture for Integrated Sensing and Communication.
Get started by running the main.m
file. This executes an OFDM-based example scenario demonstrating the usage of the PLAIN
class for angle-delay-Doppler estimation.
If you use PLAIN in your work, please cite it (current preprint) as
B. Tahir, P. Svoboda, and M. Rupp, “PLAIN: Scalable Estimation Architecture for Integrated Sensing and Communication,” arXiv:2503.21242, 2025. [Online]. Available: https://arxiv.org/abs/2503.21242
BibTeX
@misc{PLAIN_2025,
title={{PLAIN: Scalable Estimation Architecture for Integrated Sensing and Communication}},
author={Bashar Tahir and Philipp Svoboda and Markus Rupp},
year={2025},
howpublished={arXiv:2503.21242},
eprint={2503.21242},
archivePrefix={arXiv},
primaryClass={eess.SP},
url={https://arxiv.org/abs/2503.21242},
}