Random Matrix Theory Predictions of Dominant Mode Rejection Beamformer Performance

Random Matrix Theory Predictions of Dominant Mode Rejection Beamformer Performance

Adaptive beamformers use a sensor covariance matrix estimated from data snapshots to mitigate directional interference and attenuate uncorrelated noise. Dominant mode rejection (DMR) is a variant of the classic minimum variance distortionless response (MVDR) algorithm that replaces the smallest eige...

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Bibliographic Details
Main Authors: Christopher Hulbert, Kathleen Wage
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Open Journal of Signal Processing
Subjects:
Dominant mode rejection (DMR)
adaptive beamforming
sample covariance matrix
random matrix theory
white noise gain
interference leakage
Online Access:https://ieeexplore.ieee.org/document/9806176/

Internet

https://ieeexplore.ieee.org/document/9806176/

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