Estimation of multi-path channels by using the annihilating filter method

Shuntaro Ito, Dongshin Yang, Yutaka Jitsumatsu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Estimation of the channel distortion characteristics is of crucial importance for realizing a reliable communication. In order to estimate the channel, a received signal is sampled at some rate. The Nyquist rate is widely used notion to determine the sampling rate of the received signal. On the other hand, Vetterli introduced the concept of rate of innovation that is the degree of freedom of the signal space and proposed annihilating filter method, which solves a nonlinear simultaneous equation by means of finding roots of the characteristic polynomial of the equation. By using this technique, the number of samples can be reduced from the Nyquist rate. In this paper, we employ the annihilating filter method to perform the estimation of a multi-path channel. A spread spectrum signal with a wide bandwidth is transmitted, while the received signal is sampled at a very low sampling rate that is determined according to the rate of innovation.

Original languageEnglish
Title of host publication2015 IEEE 82nd Vehicular Technology Conference, VTC Fall 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479980918
DOIs
Publication statusPublished - Jan 25 2016
Event82nd IEEE Vehicular Technology Conference, VTC Fall 2015 - Boston, United States
Duration: Sep 6 2015Sep 9 2015

Publication series

Name2015 IEEE 82nd Vehicular Technology Conference, VTC Fall 2015 - Proceedings

Other

Other82nd IEEE Vehicular Technology Conference, VTC Fall 2015
CountryUnited States
CityBoston
Period9/6/159/9/15

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Automotive Engineering
  • Hardware and Architecture

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  • Cite this

    Ito, S., Yang, D., & Jitsumatsu, Y. (2016). Estimation of multi-path channels by using the annihilating filter method. In 2015 IEEE 82nd Vehicular Technology Conference, VTC Fall 2015 - Proceedings [7390934] (2015 IEEE 82nd Vehicular Technology Conference, VTC Fall 2015 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCFall.2015.7390934