An efficient Newton-type method for the computation of ML estimators in a uniform linear array

@article{Selva2005AnEN,
  title={An efficient Newton-type method for the computation of ML estimators in a uniform linear array},
  author={Jesus Selva},
  journal={IEEE Transactions on Signal Processing},
  year={2005},
  volume={53},
  pages={2036-2045}
}
In the problem of estimating the angles of arrival to a uniform linear array, we present an efficient method to compute Maximum Likelihood (ML) estimations, based on the Modified Variable Projection (MVP) algorithm. In contrast to methods like Iterative Quadratical Maximum Likelihood (IQML) or the Iterative Method of Direction Estimation (IMODE), it is not based on a polynomial parameterization but on directly exploiting the Vandermonde structure through analytical tools like the Fast Fourier… CONTINUE READING
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