@InProceedings{8903108,
  author = {S. Fortunati and F. Gini and M. S. Greco},
  booktitle = {2019 27th European Signal Processing Conference (EUSIPCO)},
  title = {Semiparametric Stochastic CRB for DOA Estimation in Elliptical Data Model},
  year = {2019},
  pages = {1-5},
  abstract = {This paper aims at presenting a numerical investigation of the statistical efficiency of the MUSIC (with different covariance matrix estimates) and the IAA-APES Direction of Arrivals (DOAs) estimation algorithms under a general Complex Elliptically Symmetric (CES) distributed measurement model. Specifically, the density generator of the CES-distributed data snapshots is considered as an additional, infinite-dimensional, nuisance parameter. To assess the efficiency in the considered semiparametric setting, the Semiparametric Stochastic Cramér-Rao Bound (SSCRB) is adopted as lower bound for the Mean Square Error (MSE) of the DOA estimators.},
  keywords = {covariance matrices;direction-of-arrival estimation;estimation theory;mean square error methods;statistical distributions;stochastic processes;IAA-APES Direction;CES-distributed data snapshots;infinite-dimensional parameter;nuisance parameter;DOA estimators;elliptical data model;semiparametric stochastic CRB;semiparametric stochastic Cramér-Rao bound;complex elliptically symmetric distributed measurement model;arrivals estimation algorithms;mean square error;MSE;SSCRB;Estimation;Covariance matrices;Direction-of-arrival estimation;Generators;Multiple signal classification;Stochastic processes;Sensor arrays;DOA estimation;Semiparametric model;Semiparametric Stochastic Cramér-Rao Bound},
  doi = {10.23919/EUSIPCO.2019.8903108},
  issn = {2076-1465},
  month = {Sep.},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2019/proceedings/papers/1570532667.pdf},
}

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