FRaC: FMCW-Based Joint Radar-Communications System via Index Modulation
Dingyou Ma, Nir Shlezinger, Tianyao Huang, Yimin Liu, and Yonina C., Eldar

TL;DR
This paper introduces FRaC, a low-cost, low-complexity FMCW-based joint radar-communications system using index modulation and sparse arrays, achieving high resolution and improved data rates for automotive applications.
Contribution
It extends index modulation-based DFRC systems to utilize sparse arrays and FMCWs, reducing hardware complexity while maintaining performance.
Findings
Achieves similar resolution with fewer hardware components.
Provides higher data rates and better error rates than conventional methods.
Demonstrates effectiveness in automotive radar scenarios.
Abstract
Dual function radar communications (DFRC) systems are attractive technologies for autonomous vehicles, which utilize electromagnetic waves to constantly sense the environment while simultaneously communicating with neighbouring devices. An emerging approach to implement DFRC systems is to embed information in radar waveforms via index modulation (IM). Implementation of DFRC schemes in vehicular systems gives rise to strict constraints in terms of cost, power efficiency, and hardware complexity. In this paper, we extend IM-based DFRC systems to utilize sparse arrays and frequency modulated continuous waveforms (FMCWs), which are popular in automotive radar for their simplicity and low hardware complexity. The proposed FMCW-based radar-communications system (FRaC) operates at reduced cost and complexity by transmitting with a reduced number of radio frequency modules, combined with…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
