@inproceedings{7950ee216ba3491db66780ddadb06215,
title = "Optimum weight of angle-dependent weighted MUSIC and its approximations",
abstract = "Angle-Dependent Weighted MUSIC or Weighted Norm MUSIC is a broad class of MUSIC-like parameter estimators which includes as special case the standard `spectral' MUSIC. Based on a general approach for deriving the point statistics of the signal-subspace estimators, the relation between the large-sample moments of MUSIC and Angle-Dependent Weighted MUSIC is presented in this paper. The optimum weight function resulting in the estimator with zero bias of order N-1 is derived. The approximate realizations of this optimum estimator in a parametric subclass of Angle-Dependent Weighted MUSIC for arrays measuring closely spaced sources are discussed. Simulation examples verify the theoretical analysis and demonstrate the proposed estimators have small estimation biases over a wide range of signal-to-noise ratio.",
author = "Wenyuan Xu and Mostafa Kaveh",
year = "1993",
language = "English (US)",
isbn = "0818641207",
series = "Conference Record of the Asilomar Conference of Signals, Systems & Computers",
publisher = "Publ by IEEE",
pages = "1357--1361",
booktitle = "Conference Record of the Asilomar Conference of Signals, Systems & Computers",
note = "Proceedings of the 27th Asilomar Conference on Signals, Systems & Computers ; Conference date: 01-11-1993 Through 03-11-1993",
}