This paper introduces two novel iterative algorithms, namely Polarimetric Sparse Learning via Iterative Minimization (POL-SLIM) and Polarimetric Sparse Iterative Covariance-based Estimation (POL-SPICE), for Direction-of-Arrival (DOA) estimation using a narrowband polarimetric array sensing system. The considered sensor comprises two subarrays of elements with orthogonal polarizations, which collect data in the presence of multiple narrow-band Radio Frequency (RF) signals emitted from unknown angular directions. The proposed algorithms, fast-converging and hyperparameter free, leverage the inherent sparsity of the signal model (across multiple snapshots) to estimate the DOAs. Numerical analysis shows the effectiveness of POL-SLIM and POL-SPICE to accurately estimate the DOA of the sources, in particular with a small number of collected snapshots. Moreover, they attain the Cramér-Rao bound (CRB) at a Signal-to-Noise Ratio (SNR) value lower than the single-polarization counterparts.
Polarimetric Sparse Iterative Procedures for DOA Estimation / Rosamilia, M.; Boddi, Marco; Aubry, A.; De Maio, A.. - 87:(2023), pp. 279-284. (Intervento presentato al convegno 2023 IEEE International Workshop on Technologies for Defense and Security, TechDefense 2023 tenutosi a ita nel 2023) [10.1109/TechDefense59795.2023.10380829].
Polarimetric Sparse Iterative Procedures for DOA Estimation
Rosamilia M.
;Aubry A.;De Maio A.
2023
Abstract
This paper introduces two novel iterative algorithms, namely Polarimetric Sparse Learning via Iterative Minimization (POL-SLIM) and Polarimetric Sparse Iterative Covariance-based Estimation (POL-SPICE), for Direction-of-Arrival (DOA) estimation using a narrowband polarimetric array sensing system. The considered sensor comprises two subarrays of elements with orthogonal polarizations, which collect data in the presence of multiple narrow-band Radio Frequency (RF) signals emitted from unknown angular directions. The proposed algorithms, fast-converging and hyperparameter free, leverage the inherent sparsity of the signal model (across multiple snapshots) to estimate the DOAs. Numerical analysis shows the effectiveness of POL-SLIM and POL-SPICE to accurately estimate the DOA of the sources, in particular with a small number of collected snapshots. Moreover, they attain the Cramér-Rao bound (CRB) at a Signal-to-Noise Ratio (SNR) value lower than the single-polarization counterparts.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
