MFCW Radar's Range and Velocity Estimation using Local Polynomial Approximation Based Function

Chungho Ryu, Joohwan Chun, Chungyong Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Multi-frequency continuous waveform (MFCW) radar transmits a set of CW waveforms with different frequencies, which increase in a stepwise manner. This type of radar usually employs the spectrogram analysis of the baseband received echo signal, and therefore is capable of detecting and resolving two targets with different velocities but at the same range. However, this spectrogram approach renders difficulties in resolving two targets with the same velocity but at different ranges. We propose a new method that solves this problem by enabling the MFCW radar to estimate the velocity and range simultaneously using the local polynomial approximation (LPA). Namely, the range of a moving target is expanded using the Taylor series, attaining up to the second order terms, and the two Taylor coefficients, i.e., the range and velocities are estimated by the grid search. Simulation results show that the proposed LPA-based algorithm is able to resolve multiple targets with the same velocity satisfactorily.

Original languageEnglish
Title of host publicationICTC 2020 - 11th International Conference on ICT Convergence
Subtitle of host publicationData, Network, and AI in the Age of Untact
PublisherIEEE Computer Society
Pages1657-1659
Number of pages3
ISBN (Electronic)9781728167589
DOIs
Publication statusPublished - 2020 Oct 21
Event11th International Conference on Information and Communication Technology Convergence, ICTC 2020 - Jeju Island, Korea, Republic of
Duration: 2020 Oct 212020 Oct 23

Publication series

NameInternational Conference on ICT Convergence
Volume2020-October
ISSN (Print)2162-1233
ISSN (Electronic)2162-1241

Conference

Conference11th International Conference on Information and Communication Technology Convergence, ICTC 2020
Country/TerritoryKorea, Republic of
CityJeju Island
Period20/10/2120/10/23

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications

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