Subspace-based (semi-) blind channel estimation for block precoded space-time OFDM

Shengli Zhou; Bertrand Muquet; Georgios B. Giannakis

doi:10.1109/78.995088

Subspace-based (semi-) blind channel estimation for block precoded space-time OFDM

Shengli Zhou, Bertrand Muquet, Georgios B. Giannakis

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

80 Scopus citations

Abstract

Space time coding has by now been well documented as an attractive means of achieving high data rate transmissions with diversity and coding gains, provided that the underlying propagation channels can be accounted for. In this paper, we rely on redundant linear precoding to develop a (semi-)blind channel estimation algorithm for space time (ST) orthogonal frequency division multiplexing (OFDM) transmissions with Alamouti's block code applied on each subcarrier. We establish that multichannel identifiability is guaranteed up to one or two scalar ambiguities, regardless of the channel zero locations and the underlying signal constellations, when distinct or identical precoders are employed for even and odd indexed symbol blocks. With known pilots inserted either before or after precoding, we resolve the residual scalar ambiguities and show that distinct precoders require half the number of pilots than identical precoders to achieve the same channel estimation accuracy. Simulation results confirm our theoretical analysis and illustrate that the proposed semi-blind algorithm is capable of tracking slow channel variations and improving the overall system performance relative to competing differential ST alternatives.

Original language	English (US)
Pages (from-to)	1215-1228
Number of pages	14
Journal	IEEE Transactions on Signal Processing
Volume	50
Issue number	5
DOIs	https://doi.org/10.1109/78.995088
State	Published - May 2002

Bibliographical note

Funding Information:
Manuscript received February 12, 2001; revised January 28, 2002. This work was supported by the NSF Wireless Initiative under Grant 99-79443, NSF Grant 0105612, and by the ARL/CTA under Grant DAAD19-01-2-011. This work was presented in part at the 34th Asilomar Conference on Signals and Systems, Pacific Grove, CA, October 29–November 1, 2000, and at the 11th IEEE Workshop on Statistical Signal Processing, Singapore, August 6–8, 2001. The associate editor coordinating the review of this paper and approving it for publication was Dr. Helmut Bölcskei.

Keywords

Block precoded transmissions
OFDM
Semi-blind
Space-time coding
Subspace based channel estimation

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10.1109/78.995088

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abstract = "Space time coding has by now been well documented as an attractive means of achieving high data rate transmissions with diversity and coding gains, provided that the underlying propagation channels can be accounted for. In this paper, we rely on redundant linear precoding to develop a (semi-)blind channel estimation algorithm for space time (ST) orthogonal frequency division multiplexing (OFDM) transmissions with Alamouti's block code applied on each subcarrier. We establish that multichannel identifiability is guaranteed up to one or two scalar ambiguities, regardless of the channel zero locations and the underlying signal constellations, when distinct or identical precoders are employed for even and odd indexed symbol blocks. With known pilots inserted either before or after precoding, we resolve the residual scalar ambiguities and show that distinct precoders require half the number of pilots than identical precoders to achieve the same channel estimation accuracy. Simulation results confirm our theoretical analysis and illustrate that the proposed semi-blind algorithm is capable of tracking slow channel variations and improving the overall system performance relative to competing differential ST alternatives.",

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Subspace-based (semi-) blind channel estimation for block precoded space-time OFDM

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