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November 12, 2025Frontiers in Signal ProcessingOpen Access

MI-based beamforming optimization framework for integrated sensing and communication

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Authors

ZPZhiwei PuFCFan Chen

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Overview

Analysis on optimizing beamforming for target detection in vehicles suggests improved MI performance using an augmented Lagrangian approach.

Key Points

  • The proposed framework optimizes beamforming to enhance target detection performance in vehicles, significantly improving MI.
  • Analysis of a time-division multiplexing model reveals effective strategies for integrating sensing and communication systems.
  • The Joint Optimization Dual Gradient Ascent algorithm is employed to construct an augmented Lagrangian function for optimization.
  • Findings indicate that this novel framework outperforms traditional water-filling algorithms, highlighting its significance in ISAC systems.

Cite This Study

Pu et al. (2025) studied this question.

synapsesocial.com/papers/692523cec0ce034ddc355264https://doi.org/10.3389/frsip.2025.1700979
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