Channel estimation for precoded MIMO systems

A. Vosoughi, Anna Scaglione

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

12 Citations (Scopus)

Abstract

We consider a block fading frequency selective multi-input multi-output (MIMO) channel in additive white Gaussian noise (AWGN). The channel input is a training vector superimposed on a linearly precoded vector of Gaussian symbols. This form of precoding is referred to as affine precoding. We derive the channel Cramer-Rao bound (CRB) and we show that tr(CRB) can be lowered if we design the precoder and training such that the channel estimation through the training component is not affected by the precoded symbols. We propose a deterministic channel estimation algorithm which combines a second order blind estimator capitalized on the redundant precoding, with a standard linear estimator which exploits only training. The simulation results show a performance improvement over the least square (LS) which utilizes only training to obtain the channel estimate.

Original languageEnglish (US)
Title of host publicationIEEE Workshop on Statistical Signal Processing Proceedings
PublisherIEEE Computer Society
Pages442-445
Number of pages4
Volume2003-January
ISBN (Print)0780379977
DOIs
StatePublished - 2003
Externally publishedYes
EventIEEE Workshop on Statistical Signal Processing, SSP 2003 - St. Louis, United States
Duration: Sep 28 2003Oct 1 2003

Other

OtherIEEE Workshop on Statistical Signal Processing, SSP 2003
CountryUnited States
CitySt. Louis
Period9/28/0310/1/03

Fingerprint

Cramer-Rao bounds
Channel Estimation
Channel estimation
Precoding
Frequency selective fading
Output
Cramér-Rao Bound
Linear Estimator
Gaussian White Noise
Estimation Algorithms
Fading
Least Squares
Linearly
Training
Estimator
Estimate
Simulation

Keywords

  • Additive white noise
  • AWGN
  • Channel estimation
  • Channel state information
  • Fading
  • Frequency domain analysis
  • Frequency estimation
  • Least squares approximation
  • MIMO
  • Stacking

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Applied Mathematics
  • Signal Processing
  • Computer Science Applications

Cite this

Vosoughi, A., & Scaglione, A. (2003). Channel estimation for precoded MIMO systems. In IEEE Workshop on Statistical Signal Processing Proceedings (Vol. 2003-January, pp. 442-445). [1289442] IEEE Computer Society. https://doi.org/10.1109/SSP.2003.1289442

Channel estimation for precoded MIMO systems. / Vosoughi, A.; Scaglione, Anna.

IEEE Workshop on Statistical Signal Processing Proceedings. Vol. 2003-January IEEE Computer Society, 2003. p. 442-445 1289442.

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

Vosoughi, A & Scaglione, A 2003, Channel estimation for precoded MIMO systems. in IEEE Workshop on Statistical Signal Processing Proceedings. vol. 2003-January, 1289442, IEEE Computer Society, pp. 442-445, IEEE Workshop on Statistical Signal Processing, SSP 2003, St. Louis, United States, 9/28/03. https://doi.org/10.1109/SSP.2003.1289442
Vosoughi A, Scaglione A. Channel estimation for precoded MIMO systems. In IEEE Workshop on Statistical Signal Processing Proceedings. Vol. 2003-January. IEEE Computer Society. 2003. p. 442-445. 1289442 https://doi.org/10.1109/SSP.2003.1289442
Vosoughi, A. ; Scaglione, Anna. / Channel estimation for precoded MIMO systems. IEEE Workshop on Statistical Signal Processing Proceedings. Vol. 2003-January IEEE Computer Society, 2003. pp. 442-445
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