Joint Order Detection and Blind Channel Estimation by Least Squares Smoothing

Abstract

A joint order detection and blind estimation algorithm for single input multiple output channels is proposed. By exploiting the isomorphic relation between the channel input and output subspaces, it is shown that the channel order and channel impulse response are uniquely determined by finite least squares smoothing error sequence in the absence of noise. The proposed subspace algorithm is shown to have marked improvement over existing algorithms in performance and robustness in simulations.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1999
Accession Number
ADA640065

Entities

People

  • Lang Tong
  • Qing Zhao

Organizations

  • Cornell University College of Engineering

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Channel Estimation
  • Convergence
  • Detection
  • Electrical Engineering
  • Engineering
  • Equations
  • Estimators
  • Identification
  • Linear Systems
  • Multipath Channels
  • Observation
  • Sequences
  • Signal Processing
  • Simulations

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Coastal and Marine Engineering/Sediment Transport/Hydraulic Engineering
  • Graph Algorithms and Convex Optimization.