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Related Experiment Videos

Optimum beamformer in correlated source environments.

Seungil Kim1, Chungyong Lee, Hong-Goo Kang

  • 1Mobile Multimedia Laboratory, LG Electronics Institute of Technology, GS Gangnam Tower, Yeoksam-dong, Gangnam-gu, Seoul, 135-985, Korea. goodksi@lge.com

The Journal of the Acoustical Society of America
|January 18, 2007
PubMed
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A novel coherently combining signal-to-interference plus noise ratio (CC-SINR) beamformer addresses signal cancellation by treating interferences as signal replicas. This method enhances performance without needing prior interference information.

Area of Science:

  • Signal Processing
  • Array Signal Processing
  • Communications Engineering

Background:

  • Minimum Variance Distortionless Response (MVDR) beamformers face signal cancellation issues with correlated interferences.
  • Existing methods often require decorrelation or prior knowledge of interference characteristics.

Purpose of the Study:

  • To propose a new beamforming method that overcomes signal cancellation caused by correlated interferences.
  • To introduce the coherently combining signal-to-interference plus noise ratio (CC-SINR) beamformer.

Main Methods:

  • The CC-SINR beamformer treats correlated interferences as signal replicas and coherently combines them with the desired signal.
  • An eigenvector constraint is employed to suppress noise and uncorrelated interferences while preserving the desired signal and correlated interferences.

Related Experiment Videos

  • No preliminary information on correlated interferences is required.
  • Main Results:

    • The CC-SINR beamformer demonstrated improved signal-to-interference plus noise ratio (SINR) compared to conventional SINR beamformers in the presence of correlated and uncorrelated interferences, and white noise.
    • Performance analysis showed the impact of various parameters, including SNR, interference-to-noise ratio, angular separation, attenuation, phase delay, and sensor count.

    Conclusions:

    • The proposed CC-SINR beamformer effectively mitigates signal cancellation from correlated interferences.
    • The method offers robust performance without requiring prior knowledge of interference properties.
    • Analytical and experimental results confirm the effectiveness and provide insights into parameter dependencies.