Code Design For Automotive MIMO Radar

Oded Bialer, Amnon Jonas, Tom Tirer

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Fast chirp FMCW modulation with code division multiple access (CDMA) for multiple input multiple output (MIMO) radar is a commonly used technique for automotive radar, since it efficiently provides high range and angel resolution, as well as a long detection range. However, the ambiguity function of the fast chirp FMCW CDMA MIMO radar has high side-lobes in the Doppler domain, which degrade the detection performance in the case of multiple targets at similar range. In this paper, we consider the case of multiple targets that overlap in range, but during a detection interval their range difference migrates proportionally to the Doppler frequency difference between them. We derive an analytical expression for the ambiguity function in this case. From the analytical expression we obtain insight that high detection performance is achieved when the code attenuates the ambiguity function side-lobes inversely proportional to the Doppler frequency difference from the main-lobe. Therefore, we design a code sequence and FMCW chirp transmission times that jointly achieve this objective, and show the performance advantage in the probability of detection of the proposed approach compared to other reference methods.

Original languageEnglish
Title of host publication29th European Signal Processing Conference, EUSIPCO 2021 - Proceedings
PublisherEuropean Signal Processing Conference, EUSIPCO
Pages1765-1769
Number of pages5
ISBN (Electronic)9789082797060
DOIs
StatePublished - 2021
Externally publishedYes
Event29th European Signal Processing Conference, EUSIPCO 2021 - Dublin, Ireland
Duration: 23 Aug 202127 Aug 2021

Publication series

NameEuropean Signal Processing Conference
Volume2021-August
ISSN (Print)2219-5491

Conference

Conference29th European Signal Processing Conference, EUSIPCO 2021
Country/TerritoryIreland
CityDublin
Period23/08/2127/08/21

Bibliographical note

Publisher Copyright:
© 2021 European Signal Processing Conference. All rights reserved.

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