Probability of Resolution of MUSIC and g-MUSIC: An Asymptotic Approach
Por:
Schenck D., Mestre X., Pesavento M.
Publicada:
1 ene 2022
Ahead of Print:
1 ene 2022
Resumen:
In this article, the outlier production mechanism of the conventional Multiple Signal Classification (MUSIC) and the g-MUSIC Direction-of-Arrival (DoA) estimation technique is investigated using tools from Random Matrix Theory (RMT). A general Central Limit Theorem (CLT) is derived that allows to analyze the asymptotic stochastic behavior of eigenvector-based cost functions in the asymptotic regime where the number of snapshots and the number of antennas increase without bound at the same rate. Furthermore, this CLT is used to provide an accurate prediction of the resolution capabilities of the MUSIC and the g-MUSIC DoA estimation method. The finite dimensional distribution of the MUSIC and the g-MUSIC cost function is shown to be asymptotically jointly Gaussian distributed in this asymptotic regime. © 1991-2012 IEEE.
Filiaciones:
Schenck D.:
Communication Systems Group, Technische Universitat Darmstadt, Darmstadt, Germany
Mestre X.:
Centre Tecnològic de Telecomunicacions de Catalunya, Castelldefels, Spain
Pesavento M.:
Communication Systems Group, Technische Universitat Darmstadt, Darmstadt, Germany
Green Submitted, All Open Access; Green Open Access
|