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- W3002906933 abstract "In this letter, the problem of direction of arrival (DOA) tracking using co-prime array is studied. A novel particle filter (PF)-based DOA tracking algorithm is proposed to recursively estimate the DOAs based on the measurement model and the state transition model. A modified likelihood function model based on the propagator method (PM) pseudo-spectrum is devised to update the involved particles under lower SNR or less samples condition. Compared to the existing techniques, such as the spatial smoothing multiple signal classification method (SS-MUSIC), compressive sensing (CS) and conventional likelihood PF (CL-PF) methods, the proposed algorithm can exhibit improved performance in term of estimating accuracy and computational cost. Simulation studies are carried out to show the superiority of the proposed PF algorithm." @default.
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- W3002906933 date "2020-11-01" @default.
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- W3002906933 title "Particle Filter Algorithm for DOA Tracking Using Co-Prime Array" @default.
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- W3002906933 doi "https://doi.org/10.1109/lcomm.2019.2953466" @default.
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