Low complexity subspace approach for unbiased frequency estimation of a complex single-tone
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F23%3APU149779" target="_blank" >RIV/00216305:26210/23:PU149779 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S1051200423003998" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1051200423003998</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.dsp.2023.104304" target="_blank" >10.1016/j.dsp.2023.104304</a>
Alternative languages
Result language
angličtina
Original language name
Low complexity subspace approach for unbiased frequency estimation of a complex single-tone
Original language description
We propose a single-tone frequency estimator of a one-dimensional complex signal in complex white Gaussian noise. The estimator is based on the subspace approach and the unitary transformation. Due to its low space and time-complexity, we name the estimator as Low complexity Unitary Principal-singular-vector Utilization for Model Analysis (LUPUMA). Regardless of the observation length, LUPUMA provides a uniform estimation variance over the whole frequency range, while achieving the lowest time-complexity among subspace methods. The proposed estimator asymptotically reaches the Cramér-Rao Lower Bound. For short observations, the signal-to-noise ratio threshold of LUPUMA corresponds to the threshold of the maximum likelihood estimator. The low space and time-complexity along with the stable and state-of-the-art estimation performance for short observations make LUPUMA an ideal candidate for applications with a limited number of signal samples, limited computational power, limited memory, and for applications that require rapid processing time (low latency).
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Digital Signal Processing: A Review Journal
ISSN
1051-2004
e-ISSN
1095-4333
Volume of the periodical
145
Issue of the periodical within the volume
February 2024
Country of publishing house
US - UNITED STATES
Number of pages
20
Pages from-to
1-20
UT code for WoS article
001165305400001
EID of the result in the Scopus database
2-s2.0-85178663373