Atomic Norm Based Localization and Orientation Estimation for Millimeter-Wave MIMO OFDM Systems

Jianxiu Li, Maxime Ferreira Da Costa, and Urbashi Mitra

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022).

Abstract

Herein, an atomic norm based method for accurately estimating the location and orientation of a target from millimeter-wave multi-input-multi-output (MIMO) orthogonal frequency-division multiplexing (OFDM) signals is presented. A novel virtual channel matrix is introduced and an algorithm to extract localization-relevant channel parameters from its atomic norm decomposition is designed. Then, based on the extended invariance principle, a weighted least squares problem is proposed to accurately recover the location and orientation using both line-of-sight and non-line-of-sight channel information. Numerical results highlight performance improvements over a prior method and the resultant performance nearly achieves the Cramer-Rao lower bound.

Cite

@inproceedings{li2021atomic,
  author    = {Li, Jianxiu and Ferreira Da Costa, Maxime and Mitra, Urbashi},
  title     = {Atomic Norm Based Localization and Orientation Estimation for Millimeter-Wave {MIMO OFDM} Systems},
  booktitle = {2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  pages     = {5363-5367},
  year      = {2022},
  doi       = {10.1109/ICASSP43922.2022.9747444}
}