eCommons

 

Blind Channel Identification: Methods For Estimating Effective Channel Order

Other Titles

Abstract

The increasing prevalence of single input multiple output systems has created increased interest in equalization across multiple channels. An important step to creating an appropriate equalizer is to have a good estimate of the effective channel order. Traditionally, the selection criteria have used eigenvalues or singular values for estimation purposes. Using these values ignores important information that can be obtained from the nullspace of the least squares method's matrix. The nullspace has a structured basis that can be utilized to quantify the quality of channel coefficient estimates. These residual error measures cluster in the nullspace and spread in the signal space, when compared to the singular values. Those properties allow the residual errors to be substituted into information theoretic criteria for improved performance. Additionally, a simple exponential curve fit is used to further improve the estimate of the effective channel order. The new criterion outperforms other known criteria in a wide variety of scenarios at both high and low SNR.

Journal / Series

Volume & Issue

Description

Sponsorship

Date Issued

2010-10-20

Publisher

Keywords

Location

Effective Date

Expiration Date

Sector

Employer

Union

Union Local

NAICS

Number of Workers

Committee Chair

Committee Co-Chair

Committee Member

Degree Discipline

Degree Name

Degree Level

Related Version

Related DOI

Related To

Related Part

Based on Related Item

Has Other Format(s)

Part of Related Item

Related To

Related Publication(s)

Link(s) to Related Publication(s)

References

Link(s) to Reference(s)

Previously Published As

Government Document

ISBN

ISMN

ISSN

Other Identifiers

Rights

Rights URI

Types

dissertation or thesis

Accessibility Feature

Accessibility Hazard

Accessibility Summary

Link(s) to Catalog Record