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W2126450275 abstract "In this paper, we present a low-complexity joint estimation algorithm of the direction of arrival (DOA) and time of arrival (TOA) for mobile location system, which is based on a multiple signal classification (MUSIC) algorithm. To reduce the computational overhead of conventional joint DOA/TOA estimation algorithms, the proposed approach employs two complexity reduction schemes: separation of the signal vector for individually extracting DOA/TOA and pseudo-spectrum computation with discrete Fourier transform (DFT). In addition, the loss of accuracy caused by the separation process is compensated by summing multiple pseudo-spectrums. Compared with the conventional two-dimensional (2-D) MUSIC algorithm, the proposed low-complexity algorithm not only substantially reduces the computational complexity but also provides better performance, especially in a low signal-to-noise ratio (SNR). The effectiveness of the proposed algorithm is verified by simulation results." @default.
W2126450275 created "2016-06-24" @default.
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W2126450275 date "2011-03-01" @default.
W2126450275 modified "2023-09-27" @default.
W2126450275 title "Low-complexity joint DOA/TOA estimation algorithm for mobile location" @default.
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W2126450275 doi "https://doi.org/10.1109/wcnc.2011.5779198" @default.
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