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Published in 2021 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/abe9dc
Abstract: Measuring the positions of multiple targets is key in many positioning applications. Utilizing compressed sensing theory, measurements using the sparse direct position determination (DPD) methods are more accurate than the two-step methods and the traditional…
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Keywords:
direct position;
position;
multiple targets;
error compensation ... See more keywords
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Published in 2023 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2022.3231548
Abstract: Based on the orthogonal frequency division multiplexing (OFDM) system, a computationally attractive implementation for the traditional single source maximum likelihood (SML) direct position determination (DPD) algorithm is proposed. The proposed algorithm implements fast Fourier transform…
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Keywords:
sml;
algorithm;
direct position;
ofdm system ... See more keywords
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Published in 2020 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2020.3025386
Abstract: The direct position determination (DPD) algorithms have been shown to outperform conventional two-step methods in localization accuracy under poor observation conditions (e.g., low signal-to-noise ratios or short signal observation durations). In this paper, we consider…
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Keywords:
cost function;
position determination;
position;
direct position ... See more keywords
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Published in 2018 at "EURASIP Journal on Advances in Signal Processing"
DOI: 10.1186/s13634-018-0555-7
Abstract: Direct position determination (DPD) methods are known to have many advantages over the traditional two-step localization method, especially for low signal-to-noise ratios (SNR) and/or short data records. However, similar to conventional direction-of-arrival (DOA) estimation methods,…
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Keywords:
model errors;
direct position;
position;
array model ... See more keywords