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MF, ZF, and MMSE filters for automotive OFDM radar

Published online by Cambridge University Press:  12 September 2023

Bochra Benmeziane Open the ORCID record for Bochra Benmeziane [Opens in a new window] ,
Jean-Yves Baudais Open the ORCID record for Jean-Yves Baudais [Opens in a new window] ,
Stéphane Méric  and
Kevin Cinglant Open the ORCID record for Kevin Cinglant [Opens in a new window]
Bochra Benmeziane*
Affiliation:
Univ Rennes, INSA Rennes, CNRS, Rennes, France ZF Autocruise, Plouzané, France
Jean-Yves Baudais
Affiliation:
Univ Rennes, INSA Rennes, CNRS, Rennes, France
Stéphane Méric
Affiliation:
Univ Rennes, INSA Rennes, CNRS, Rennes, France
Kevin Cinglant
Affiliation:
ZF Autocruise, Plouzané, France
*
Corresponding author: bochra benmeziane; Email: Bochra.Benmeziane@insa-rennes.fr
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Abstract

The delay estimation for orthogonal frequency division multiplexing automotive radars can be achieved through the use of different filters. This paper compares two of these filters, namely the matched filter and the zero forcing filter through two metrics, which are the peak to side lobe ratio and the integrated side lobe ratio estimated on their range profiles. The analysis is then extended to the minimum mean squared error filter.

Keywords

matched filterminimum mean squared errorOFDMradar signal processingzero forcing
Type
JNM 2022 Special Issue
Information
International Journal of Microwave and Wireless Technologies , Volume 15 , Special Issue 10: JNM 2022 Special Issue , December 2023 , pp. 1649 - 1655
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Copyright
© The Author(s), 2023. Published by Cambridge University Press in association with the European Microwave Association

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References

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