Estimation of Time-Limited Channel Spectra From Nonuniform Samples

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Title: Estimation of Time-Limited Channel Spectra From Nonuniform Samples
Authors: Selva, Jesus
Research Group/s: Señales, Sistemas y Telecomunicación
Center, Department or Service: Universidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señal
Keywords: Nonuniform sampling | Channel estimation | OFDM | Maximum likelihood
Knowledge Area: Teoría de la Señal y Comunicaciones
Issue Date: 10-Apr-2015
Publisher: IEEE
Citation: IEEE Transactions on Signal Processing. 2015, 63(12): 3232-3240. doi:10.1109/TSP.2015.2421479
Abstract: This paper deals with the estimation of a time-invariant channel spectrum from its own nonuniform samples, assuming there is a bound on the channel’s delay spread. Except for this last assumption, this is the basic estimation problem in systems providing channel spectral samples. However, as shown in the paper, the delay spread bound leads us to view the spectrum as a band-limited signal, rather than the Fourier transform of a tapped delay line (TDL). Using this alternative model, a linear estimator is presented that approximately minimizes the expected root-mean-square (RMS) error for a deterministic channel. Its main advantage over the TDL is that it takes into account the spectrum’s smoothness (time width), thus providing a performance improvement. The proposed estimator is compared numerically with the maximum likelihood (ML) estimator based on a TDL model in pilot-assisted channel estimation (PACE) for OFDM.
Sponsor: This work was supported by the Spanish Ministry of Economy and Competitiveness (MINECO) under Project TEC2011-28201-C02-02.
ISSN: 1053-587X (Print) | 1941-0476 (Online)
DOI: 10.1109/TSP.2015.2421479
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
Peer Review: si
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