INCREMENTAL COMPLEX L1-PCA FOR DIRECTION-OF-ARRIVAL ESTIMATION

In wireless-node localization, the receiver processes snapshots collected by its antenna array in order to estimate the direction-of-arrival (DoA) of a source of interest. High-resolution direction finding is commonly carried out by principal-component analysis (PCA) of the collected complex-valued snapshots (subspace-based methods). Standard PCA was recently replaced by corruption-resistant L1-PCA in order to counteract the detrimental impact of unexpected, intermittent jamming. In this paper, we present the first incremental method for complex L1-PCA and employ it for online direction finding, as snapshots naturally arrive in a streaming fashion. Our numerical studies corroborate the computational efficiency and jamming/corruption resistance of the proposed method.