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Improved Unitary Root-MUSIC for DOA Estimation Based on Pseudo-Noise Resampling
2014
IEEE Signal Processing Letters
A novel pseudo-noise resampling (PR) based unitary root-MUSIC algorithm for direction-of-arrival (DOA) estimation is derived in this letter. Our solution is able to eliminate the abnormal DOA estimator called outlier and obtain an approximate outlier-free performance in the unitary root-MUSIC algorithm. In particular, we utilize a hypothesis test to detect the outlier. Meanwhile, a PR process is applied to form a DOA estimator bank and a corresponding root estimator bank. We propose a distance
doi:10.1109/lsp.2013.2294676
fatcat:qe6kpx2ssnartdkbdu7a4mhbwa