A performance analysis of subspace-based methods in the presence of model error. II. Multidimensional algorithms

@article{Swindlehurst1993APA,
  title={A performance analysis of subspace-based methods in the presence of model error. II. Multidimensional algorithms},
  author={A. Lee Swindlehurst and Thomas Kailath},
  journal={IEEE Trans. Signal Processing},
  year={1993},
  volume={41},
  pages={2882-2890}
}
This is the second of a two-part paper dealing with the performance of subspace-based algorithms for narrow-hand direction-of-arrival (DOA) estimation when the array manifold and noise covariance are not correctly modeled. In Part I, the performance of the MUSIC algorithm was investigated. In Part 11, we extend this analysis to multidimensional (MD) subspacebased algorithms including deterministic (or conditional) maximum likelihood, MD-MUSIC, weighted subspace fitting (WSF), MODE, and ESPRIT… CONTINUE READING
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