Performance Trade-off in Joint Radar & Communications Transmit Beamforming

Nathaniel Raymondi, Ashutosh Sabharwal

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In this paper, we propose a joint multi-user communications and multi-direction radar beamforming design where the communications waveform is used for both communications and radar functions. The common-waveform design contrasts with traditional system designs, wherein separate waveforms are used to perform radar and communications operations. Employing a common waveform eliminates the notion of cross-system interference and, as demonstrated in this paper, provides improved performance for both operations. The proposed beamformer design, the SNR-maximizing common-waveform (SMCW) beamforming, maximizes total radar target signal-to-noise ratio while meeting communications rate constraints.The SMCW beamformer achieves higher radar target SNR, which translates to improved performance compared to stateof-the-art designs that we characterize by joint radar and communications achievable SINR regions. Numerical evaluation demonstrates that the common-waveform design allows smooth control over the radar-communications performance trade-off. It is demonstrated that not only does the SMCW design yield significant radar performance gains in exchange for a small sacrifice in communications performance, but it is also shown that this radar-communications trade-off is better for the SMCW design than for state-of-the-art designs.

Original languageEnglish (US)
Title of host publication55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021
EditorsMichael B. Matthews
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages8
ISBN (Electronic)9781665458283
StatePublished - 2021
Event55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021 - Virtual, Pacific Grove, United States
Duration: Oct 31 2021Nov 3 2021

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393


Conference55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021
Country/TerritoryUnited States
CityVirtual, Pacific Grove

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications


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