Subspace-Based Range-Angle Tracking for Coherent FDA Radar

• Published in: Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) pp. 1 - 5
• Main Authors: Sun, Yan, Wang, Wen-Qin, Greco, Maria Sabrina, Gini, Fulvio
• Format: Conference Proceeding
• Language: English
• Published: IEEE 06.04.2025
• Subjects: Coherent frequency diverse array (C-FDA) radar; Convergence; Data processing; Estimation; Frequency diversity; Phased arrays; projection subspace tracking; Radar; Radar tracking; range-angle decoupling; robust estimation; Signal processing algorithms; Target tracking; Trajectory
• ISSN: 2379-190X
• DOI: 10.1109/ICASSP49660.2025.10888837

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).