On Hybrid Radar Fusion for Integrated Sensing and Communication

Akhileswar Chowdary, Ahmad Bazzi, Marwa Chafii

Research output: Contribution to journalArticlepeer-review


The following paper introduces a novel integrated sensing and communication (ISAC) scenario termed hybrid radar fusion. In this setting, the dual-functional radar and communications (DFRC) base station (BS) acts as a mono-static radar in the downlink (DL), for sensing purposes, while performing its DL communication tasks. Meanwhile, the communication users act as distributed bi-static radar nodes in the uplink (UL) following a frequency-division duplex protocol. The DFRC BS fuses the information available at different DL and UL resource bands to estimate the angles-of-arrival (AoAs) of the multiple targets existing in the scene. In this work, we derive the maximum likelihood (ML) criterion for the hybrid radar fusion problem at hand. Additionally, we design efficient estimators; the first algorithm is based on an alternating optimization approach to solve the ML criterion, while the second one designs an optimization framework that leads to an alternating subspace approach to estimate AoAs for both the target and users. Finally, we demonstrate the superior performance of both algorithms in different scenarios, and the gains offered by these proposed methods through numerical simulations.

Original languageEnglish (US)
Pages (from-to)1
Number of pages1
JournalIEEE Transactions on Wireless Communications
StateAccepted/In press - 2024


  • 6G
  • Dual-Functional Radar and Communications (DFRC)
  • Fuses
  • hybrid radar
  • Integrated Sensing and Communication (ISAC)
  • OFDM
  • Radar
  • radar fusion
  • Robot sensing systems
  • Sensors
  • Wireless communication
  • Wireless sensor networks

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


Dive into the research topics of 'On Hybrid Radar Fusion for Integrated Sensing and Communication'. Together they form a unique fingerprint.

Cite this