Bandwidth Efficient Pilot Assisted Transmission Over Double-Selective Wireless Fading Channels Using Superimposed Training

Abstract

We propose to estimate time-varying frequency-selective channels using data-dependent super- imposed training (DDST) and a basis expansion model (BEM). The superimposed training consists of the sum of a known sequence and a data-dependent sequence, which is unknown to the receiver. The data-dependent sequence cancels the effects of the unknown data on channel estimation. Symbol detection is performed using MMSE equalization. The method is compared to time-division-multiplexing-based methods.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2006
Accession Number
ADA455867

Entities

People

  • Mounir Ghogho

Organizations

  • University of Leeds

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Bandwidth
  • Channel Estimation
  • Data Rate
  • Decoding
  • Detection
  • Detectors
  • Distortion
  • Equalization
  • Estimators
  • Frequency
  • Frequency Domain
  • Multiplexing
  • Symbols
  • Time Division Multiplexing
  • Time-Varying Channels
  • Training

Fields of Study

  • Engineering

Readers

  • Radio communications and signal processing.