Back to results

Massachusetts Institute of Technology and Woods Hole Oceanographic Institution

A channel subspace post-filtering approach to adaptive equalization

Abstract

dc:description.abstract

One of the major problems in wireless communications is compensating for the time-varying intersymbol interference (ISI) due to multipath. Underwater acoustic communications is one such type of wireless communications in which the channel is highly dynamic and the amount of ISI due to multipath is relatively large. In the underwater acoustic channel, associated with each of the deterministic propagation paths are macro-multipath fluctuations which depend on large scale environmental features and geometry, and micro-multipath fluctuations which are dependent on small scale environmental inhomogeneities. For arrivals which are unsaturated or partially saturated, the fluctuations in ISI are dominated by the macro-multipath fluctuations resulting in correlated fluctuations between different taps of the sampled channel impulse response. Traditional recursive least squares (RLS) algorithms used for adapting channel equalizers do not exploit this structure. A channel subspace post-filtering algorithm that treats the least squares channel estimate as a noisy time series and exploits the channel correlation structure to reduce the channel estimation error is presented. The improvement in performance of the algorithm with respect to traditional least squares algorithms is predicted theoretically, and demonstrated using both simulation and experimental data. An adaptive equalizer structure that explicitly uses this improved estimate of the channel impulse response is discussed. The improvement in performance of such an equalizer due to the use of the post-filtered estimate is also predicted theoretically, and demonstrated using both simulation and experimental data.

Degree

thesis:*
Grantor dc:publisher
Massachusetts Institute of Technology and Woods Hole Oceanographic Institution
Year dc:date.issued
2002

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Nadakuditi, Rajesh Rao

Subjects

dc:subject × 2

Rights

Language dc:language.iso
en_US

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:darchive.mblwhoilibrary.org:1912/2751

Chain of custody

source
Harvested from
Woods Hole Oceanographic Institute
Base URL
darchive.mblwhoilibrary.org/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Nadakuditi, Rajesh Rao. A channel subspace post-filtering approach to adaptive equalization. Massachusetts Institute of Technology and Woods Hole Oceanographic Institution, 2002. https://hdl.handle.net/1912/2751