Automotive multi-mode cascaded radar data processing embedded system

Igal Bilik, Shahar Villeval, Daniel Brodeski, Haim Ringel, Oren Longman, Piyali Goswami, Chethan Y.B. Kumar, Sandeep Rao, Pramod Swami, Anshu Jain, Anil Kumar, Shankar Ram, Kedar Chitnis, Yashwant Dutt, Aish Dubey, Stanley Liu

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

30 Scopus citations

Abstract

Radars play a major role in providing sensing capabilities for active safety automotive applications. Multi-transmitter and multi-receiver radar systems are becoming popular in order to detect and classify objects in complex urban driving scenarios. This work describes hardware and software modules designed for a multi-mode cascaded radar data processing system. We derive system configuration and data processing requirements based on current state of the art and future multiple-input multiple-output (MIMO) radar processing requirements. The proposed system is expected to meet these requirements with ≤75% AWR12x and < 60% TDA2x utilization.

Original languageEnglish
Title of host publication2018 IEEE Radar Conference, RadarConf 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages372-376
Number of pages5
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

  • Automotive
  • Cascade
  • Multi-mode radar
  • Multiple Input-Multiple-output
  • Radar

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