An Algorithm for Estimating the Signal Frequency at the Output of a Channel with a Controlled Information Flow under Phase Noise

Research in the field of efficient frequency estimation algorithms is of great interest due to the redistribution of the role of additive and phase noise in many modern radio-engineering applications. One example is the field of radio measurement instruments, which usually operate at high signal-to-...

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Bibliographic Details
Published in:Automatic control and computer sciences 2022-12, Vol.56 (7), p.661-668
Main Authors: Kazakov, L. N., Kubyshkin, E. P., Lukyanov, I. V.
Format: Article
Language:English
Subjects:
Algorithms
Broadband
Computer Science
Control Structures and Microprogramming
Cramer-Rao bounds
Estimation
Frequency synthesizers
Information flow
Iterative methods
Mathematical analysis
Measuring instruments
Noise
Oscillators
Phase noise
Radio
Radio networks
Signal processing
Synchronism
Synthesizers
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Summary:Research in the field of efficient frequency estimation algorithms is of great interest due to the redistribution of the role of additive and phase noise in many modern radio-engineering applications. One example is the field of radio measurement instruments, which usually operate at high signal-to-noise ratios (SNRs). The estimation error is largely determined by the frequency and phase noise of the local oscillators of the receiving and transmitting devices rather than by broadband noise. In particular, [ 1 ] proposed an efficient computational algorithm for estimating the frequency of a quasi-harmonic signal based on the iterative calculation of the autocorrelation sequence (ACS). In [ 2 ], this algorithm was improved and its proximity to the Cramér–Rao bound was shown (the sources of these noises are mater oscillators and frequency synthesizers). The possibilities of frequency estimation in radio channels can significantly extend the functionality of an entire radio network. This can include, e.g., the problem of adaptive distribution of radio network information flows. This can also include the problems of synchronization and coherent signal processing. For these reasons, additional studies of this algorithm, as well as calculation of the theoretical bounds and their comparison to simulation results, are required.
ISSN:0146-4116
1558-108X
DOI:10.3103/S0146411622070069