Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/103359
Title: High-resolution phase based method for FMCW short range radars
Authors: Ronkin, M. V.
Kalmykov, A. A.
Akimova, E. N.
Nagovicin, V. S.
Issue Date: 2020
Publisher: American Institute of Physics Inc.
Citation: High-resolution phase based method for FMCW short range radars / M. V. Ronkin, A. A. Kalmykov, E. N. Akimova, et al. — DOI 10.1063/5.0026619 // AIP Conference Proceedings. — 2020. — Vol. 2293. — 140003.
Abstract: The paper deals with the problem of the using phase-based methods for frequency estimation in the frequency modulated continuum waves (FMCW) short-range radars in the case of high-resolution frequency estimation requirements. The equation is considered for frequency estimation by the least-square method of approximating the phase-to-time relation of the beat signal correlation function in the case of several significant components in the signal (such as valuable and interference signal-like tones). Solution is proposed for the equations by using the parametric (or subspace) decomposition of beat signals (such as eigenvector decomposition, EV). The numerical investigation shows that the bias of the frequency estimations by the proposed solution of the mentioned equation above has statistical properties similar to the method of estimation of signal parameters via rotational invariance techniques (ESPRIT). However, the proposed method does not require the double decompositions, and frequency of each eigenvector can be estimated separately. It is also shown that in the case of the unknown number of signal components the proposed method has the higher statistical properties than for such popular technique as the multiple signal classification method (MUSIC). © 2020 American Institute of Physics Inc.. All rights reserved.
Keywords: FMCW RADARS
FMCW SIGNALS
FREQUENCY ESTIMATION
HIGH-RESOLUTION FREQUENCY ESTIMATION
SHORT RANGE RADARS
SIGNAL PROCESSING
TIME DELAY MEASUREMENTS
URI: http://hdl.handle.net/10995/103359
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85097993879
PURE ID: 20362377
cc461dda-5e9f-48dc-9914-663b318de9cf
ISSN: 0094243X
ISBN: 9780735440258
DOI: 10.1063/5.0026619
metadata.dc.description.sponsorship: The work was supported by Act 211 Government of the Russian Federation, contract N 02.A03.21.0006.
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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