Title :
Estimation Models for Nonuniformly Sampled Signals–Application to Multiple Delay Estimation
Author_Institution :
Univ. of Alicante, Alicante, Spain
Abstract :
This letter presents a method to model propagation channels for estimation, in which the sampling scheme can be arbitrary. Additionally, the method yields accurate models, with a size that converges to the channel duration, measured in Nyquist periods. It can be viewed as an improvement on the usual discretization based on regular sampling at the Nyquist rate. The method is introduced in the context of multiple delay estimation using the MUSIC estimator, and is assessed through a numerical example.
Keywords :
channel estimation; sampling methods; signal classification; MUSIC estimator; Nyquist periods; Nyquist rate; multiple delay estimation; nonuniformly sampled signal-application; propagation channel estimation model; sampling scheme; Bandwidth; Channel estimation; Delays; Estimation; Interpolation; Multiple signal classification; Numerical models; Multiple delay estimation; nonuniform sampling; trigonometric models;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2013.2257754