Doppler ambiguity resolving in TDMA automotive MIMO radar via digital multiple PRF

I. Shapir, I. Bilik, G. Barkan

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

Abstract

Multiple input multiple output (MIMO) radars require orthogonality between the transmitted signals, which can be achieved via time division multiple access (TDMA) scheme, where only a single transmitter operates at a predefined time slot. This scheme determines the pulse repetition frequency (PRF) per transmitter, which in turn limits the maximal unambiguous Doppler. When radars are designed to operate in an ambiguous Doppler regime, Doppler ambiguity is conventionally resolved via waveform diversity (e.g. multiple PRFs), which is practically challenging. This work proposes a method to resolve Doppler ambiguity by generating an additional PRF digitally, without waveform diversity. In the case where the transmitters are positioned linearly, the proposed method performs better for targets that lie in a limited field of view, compared to the array. The proposed method performance is evaluated via simulations, compared to the traditional processing method and tested using measurements, collected with an automotive radar in real-life scenarios.

Original languageAmerican English
Title of host publication2018 IEEE Radar Conference, RadarConf 2018
Pages175-180
Number of pages6
ISBN (Electronic)9781538641675
DOIs
StatePublished - 8 Jun 2018
Externally publishedYes
Event2018 IEEE Radar Conference, RadarConf 2018 - Oklahoma City, United States
Duration: 23 Apr 201827 Apr 2018

Publication series

Name2018 IEEE Radar Conference, RadarConf 2018

Conference

Conference2018 IEEE Radar Conference, RadarConf 2018
Country/TerritoryUnited States
CityOklahoma City
Period23/04/1827/04/18

Keywords

  • Ambiguity Side-Lobes
  • Automotive Radar
  • CW-LFM
  • DMPRF
  • Doppler Ambiguity
  • MIMO Radar
  • MPRF
  • PRF
  • PRI

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

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