The Rise of Radar for Autonomous Vehicles: Signal processing solutions and future research directions

Igal Bilik, Oren Longman, Shahar Villeval, Joseph Tabrikian

Research output: Contribution to journalArticlepeer-review

Abstract

Automotive radar is the most promising and fastest-growing civilian application of radar technology. Vehicular radars provide the key enabling technology for the autonomous driving revolution that will have a dramatic impact on everyone's day-to-day lives. They play a central role in the autonomous sensing suit because of the significant progress in the radio-frequency (RF) CMOS technology that enables high-level radaron-chip integration and thus reduces the automotive radar cost to the level of consumer mass production. However, this would not be sufficient without high spatial resolution performance, which can be obtained by multiple-input, multiple-output (MIMO) and cognitive approaches at a lower cost.

Original languageEnglish
Article number8828025
Pages (from-to)20-31
Number of pages12
JournalIEEE Signal Processing Magazine
Volume36
Issue number5
DOIs
StatePublished - 1 Sep 2019

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

Fingerprint

Dive into the research topics of 'The Rise of Radar for Autonomous Vehicles: Signal processing solutions and future research directions'. Together they form a unique fingerprint.

Cite this