FRaC: FMCW-Based Joint Radar-Communications System via Index Modulation

Dingyou Ma, Nir Shlezinger, Tianyao Huang, Yimin Liu, Yonina C Eldar

Research output: Working paper/PreprintPreprint


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 narrowband FMCW signalling. This is achieved via array sparsification
in transmission, formulating a virtual multiple-input multipleoutput array by combining the signals in one coherent processing interval, in which the narrowband waveforms are transmitted in a randomized manner. Performance analysis and numerical results show that the proposed radar scheme achieves similar resolution performance compared with a wideband radar system operating with a large receive aperture, while requiring less hardware overhead. For the communications subsystem, FRaC achieves higher rates and improved error rates compared to dual-function signalling based on conventional phase modulation.
Original languageEnglish
StatePublished - 2021

Publication series

NamearXiv preprint arXiv:2106.14671


Dive into the research topics of 'FRaC: FMCW-Based Joint Radar-Communications System via Index Modulation'. Together they form a unique fingerprint.

Cite this