Near Field Localization via AI-Aided Subspace Methods

Related Publications

• [1] DCD-MUSIC: Deep-Learning-Aided Cascaded Differentiable MUSIC Algorithm for Near-Field Localization of Multiple Sources (ICASSP 2025)
• [2] Near Field Localization via AI-Aided Subspace Methods (preprint)

Introduction

This repository contain the implementation of the AI-aided subspace methods for near-field localizaiton:

• DCD-MUSIC
• NF-SSN

Getting Started

Prerequisites

• Python 3.10+

Installation

• Init a new virtual environment
  • For conda, conda env create -f full_environment.yml and active it by conda activate ai_subspace_env
  • For venv, py -m venv ai_subspace_env
    • Activate the virtual environment
    • Go to Pytorch official website to install the correct version of Pytorch
    • Install the required packages by running pip install -r requirements.txt
• See example usage in 'main.py'

Citation

If you find this work useful, please cite:

@inproceedings{gast2025dcdmusic,
  author    = {Arad Gast, Luc Le Magoarou, Nir Shlezinger},
  title     = {DCD-MUSIC: Deep-Learning-Aided Cascaded Differentiable MUSIC Algorithm for Near-Field Localization of Multiple Sources},
  booktitle = {ICASSP},
  year      = {2025},
  publisher = {IEEE}
}

@article{gast2025aisubspacenear,
  author    = {Arad Gast, Luc Le Magoarou, Nir Shlezinger},
  title     = {Near Field Localization via AI-Aided Subspace Methods},
  journal   = {arXiv preprint arXiv:2504.00599},
  year      = {2025}
}