Extended Dimensionality Reduction MUSIC Method for Signal-Selective Direction Estimation

This paper presents an extension to the subspace-based direction-of-arrival (DOA) estimation algorithm dimensionality reduction multiple signal classification (DR-MUSIC). The extension operates with a single six-component vector sensor collecting multiple temporally displaced data sets. The temporal displacements invoke phase-shifts specific to the carrier frequencies of each signal to be located and are arranged into a matrix that is combined via tensor product with the arrival angle function steering matrix used in DR-MUSIC's iterative search. This procedure creates a more robust steering matrix that can resolve the directions of a number of signals greatly exceeding the number of antenna elements while rejecting interfering signals with impressive accuracy. Simulations demonstrate that the method also performs well under sub-zero SNR and SIR conditions.

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