ROBUST ADAPTIVE BEAMFORMING BASED ON PARTICLE FILTER WITH NOISE UNKNOWN

@inproceedings{Li2009ROBUSTAB,
  title={ROBUST ADAPTIVE BEAMFORMING BASED ON PARTICLE FILTER WITH NOISE UNKNOWN},
  author={Yi Li and Yu Jason Gu and Z. G. Shi and Kullanan Sae Chen},
  year={2009}
}
Adaptive beamforming, which uses a weight vector to maximize the signal-to-interference-plus-noise ratio (SINR), is often sensitive to estimation error and uncertainty in the parameters, such as direction of arrival (DOA), steering vector and covariance matrix. Robust beamforming attempts to mitigate this sensitivity and diagonal loading in sample covariance matrix can improve the robustness. In this paper, beamformer based on particle filter (PF) is proposed to improve the robustness by… CONTINUE READING
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