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July 15, 2026Journal of Marine Science and EngineeringOpen Access

Inverse Beamforming Algorithm for Strong Interference Suppression Based on Parameter-Adaptive Optimization

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Authors

HLHaihao LuGXGaoxiang XingHWHongkai Wei

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Overview

Randomized trial demonstrates enhanced interference cancellation in signal processing, suggesting better performance for communication systems.

Key Points

  • The aim is to enhance interference suppression in inverse beamforming to improve local signal quality.
  • Proposed an enhanced inverse beamforming algorithm based on least squares optimization.
  • Utilized grid search and Bayesian optimization for adaptive parameter selection.
  • Constructed array manifold and element-domain data for interference cancellation.
  • Achieved a local SNR increase of 2–3 dB compared to conventional methods.
  • Power suppression in the main lobe was improved by no less than 30 dB.
  • The algorithm allows for adjustable widths of interference nulls.

Cite This Study

Lu et al. (2026) studied this question.

synapsesocial.com/papers/6a5723fd88b21df875480821https://doi.org/10.3390/jmse14141283
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