Covariance Matrix Estimation for Broadband Underwater Noise

@article{Pirkl2017CovarianceME,
  title={Covariance Matrix Estimation for Broadband Underwater Noise},
  author={Ryan Jesse Pirkl and Jason Matthew Aughenbaugh},
  journal={IEEE Journal of Oceanic Engineering},
  year={2017},
  volume={42},
  pages={936-947}
}
In this paper, a technique is presented for frequency-smoothing the sample covariance matrix observed at the output of a set of elements or beams so as to obtain a frequency-smoothed estimate of the broadband noise covariance matrix due to underwater noise. The smoothing technique is based on a linear model that is derived through analysis of the delay… CONTINUE READING