ICASSP 2025accepted0 citations

Subspace-Based Range-Angle Tracking for Coherent FDA Radar

Yan Sun, Wen-Qin Wang, Maria Sabrina Greco, Fulvio Gini

Abstract

As an extension of the phased-array (PA) and frequency diverse array multi-input multi-output (FDA-MIMO) radars, the coherent FDA (C-FDA) radar simultaneously enjoys the merits from a higher coherent array gain and range-dependency, especially the range-angle decoupling. Based on these properties, C-FDA radar is potential to implement more robust target tracking. This paper proposes a subspace-based range-angle tracking method, including the subspace tracking and range-angle estimation. We first design a data processing structure for C-FDA radar, separating the range-dependent data from the angle-dependent data. Then we use the exponential decay function inspired from the information geometry to achieve fast convergence for the subspace tracking. Numerical results describe the range-angle tracking trajectories of C-FDA radar by using the proposed algorithm, indicating its superiority through the root mean square error (RMSE) and the subspace estimation performance (SEP).

BibTeX
@inproceedings{icassp2025_subspacebasedran,
  title = {Subspace-Based Range-Angle Tracking for Coherent FDA Radar},
  author = {Yan Sun and Wen-Qin Wang and Maria Sabrina Greco and Fulvio Gini},
  booktitle = {ICASSP 2025},
  year = {2025}
}