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Joint MMSE and CRB-Based Robust Beamforming Design for Monostatic ISAC Systems With Channel Uncertainty

Zhang, R; Gong, Y; Chen, C; Nallanathan, A; Wong, KK; Yuen, C; (2026) Joint MMSE and CRB-Based Robust Beamforming Design for Monostatic ISAC Systems With Channel Uncertainty. IEEE Transactions on Communications 10.1109/TCOMM.2025.3650390. (In press). Green open access

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Abstract

In this paper, we contribute to the beamforming design problem with imperfect channel state information in a monostatic integrated sensing and communication (ISAC) system. We propose a robust waveform design framework tailored for monostatic ISAC systems, incorporating a channel random error vector to account for imperfections in the communication channels, and addressing clutter interference in radar sensing received waveforms. Next, we derive expressions for target estimation performance via utilizing the minimum mean squared error criterion and the Cramer-Rao bound, which serve as objective functions for our beamforming design. Additionally, we introduce signal-to-interference-plus-noise ratio outage probability constraints and power constraints, formulating two different beamforming optimization problems. Utilizing semi-definite programming techniques, we reformulate these optimization problems into convex optimization problems and resolve them via a convex toolbox. Finally, our simulation results achieves 45% sensing gain and 37% communication gain at an SINR threshold of 20 dB compared with the baseline.

Type: Article
Title: Joint MMSE and CRB-Based Robust Beamforming Design for Monostatic ISAC Systems With Channel Uncertainty
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/TCOMM.2025.3650390
Publisher version: https://doi.org/10.1109/tcomm.2025.3650390
Language: English
Additional information: This version is the author accepted manuscript. It has been made open access under the Creative Commons (CC BY) licence under the terms of the UCL Intellectual Property (IP) Policy and UCL Publications Policy.
Keywords: Integrated sensing and communications, minimum mean squared error, Cramér-Rao Bound, robust beamforming, outage probability
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10220153
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