Chapter 2. Multidimensional Harmonic Retrieval with Applications in MIMO Wireless Channel Sounding

  1. A. B. Gershman3,4 and
  2. N. D. Sidiropoulos5
  1. Xiangqian Liu1,
  2. Nikos D. Sidiropoulos5 and
  3. Tao Jiang2

Published Online: 30 JUN 2005

DOI: 10.1002/0470010045.ch2

Space-Time Processing for MIMO Communications

Space-Time Processing for MIMO Communications

How to Cite

Liu, X., Sidiropoulos, N. D. and Jiang, T. (2005) Multidimensional Harmonic Retrieval with Applications in MIMO Wireless Channel Sounding, in Space-Time Processing for MIMO Communications (eds A. B. Gershman and N. D. Sidiropoulos), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/0470010045.ch2

Editor Information

  1. 3

    McMaster University, Hamilton, ON, Canada

  2. 4

    University of Duisburg-Essen, Duisburg, Germany

  3. 5

    Technical University of Crete, Crete, Greece

Author Information

  1. 1

    University of Louisville, Louisville, KY, USA

  2. 2

    Royal Institute of Technology (KTH), Stockholm, Sweden

  3. 5

    Technical University of Crete, Crete, Greece

Publication History

  1. Published Online: 30 JUN 2005
  2. Published Print: 22 APR 2005

ISBN Information

Print ISBN: 9780470010020

Online ISBN: 9780470010044

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Keywords:

  • harmonic retrieval (HR);
  • Khatri–Rao product;
  • Vandermonde matrix;
  • Stochastic identifiability;
  • ESPRIT;
  • rank reduction estimator (RARE);
  • schur decomposition;
  • channel estimation;
  • multipath propagation

Summary

This chapter contains sections titled:

  • Introduction

  • Harmonic Retrieval Data Model

  • Identifiability of Multidimensional Harmonic Retrieval

  • Multidimensional Harmonic Retrieval Algorithms

  • Numerical Examples

  • Multidimensional Harmonic Retrieval for MIMO Channel Estimation

  • Concluding Remarks

  • References