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Subspace Tracking Based Blind MIMO Transmit Preprocessing

Subspace Tracking Based Blind MIMO Transmit Preprocessing
Subspace Tracking Based Blind MIMO Transmit Preprocessing
In this contribution projection approximation subspace tracking using deflation (PASTD) is investigated in the context of MIMO transmit preprocessing systems by exploiting the specific property of Time Division Duplexing (TDD) techniques that the uplink and downlink channels are similar, since they both use the same carrier frequency. Hence the channel estimated from the received signal can also be used for transmit preprocessing. More explicitly, based on the received signal, the PASTD algorithm is used for tracking both the left and the right singular vectors of the MIMO channel matrix, which are required by eigenmode transmissions, instead of periodically reestimating the MIMO channel matrix and performing the singular value decomposition (SVD), which would impose a high computational complexity. A specific deficiency of the family of subspace tracking algorithms is their phase ambiguity imposed by the non-unique nature of the SVD, which is resolved in this treatise by employing differential encoding. The efficiency of the proposed subspace tracking scheme is demonstrated by our performance results, indicating that the advocated technique preforms within 1dB from the BER curve of the perfect channel estimation aided benchmarker.
2228-2232
Liu, W.
af656440-51e8-45c8-b694-a802e71b671e
Yang, L.L.
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Liu, W.
af656440-51e8-45c8-b694-a802e71b671e
Yang, L.L.
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1

Liu, W., Yang, L.L. and Hanzo, L. (2007) Subspace Tracking Based Blind MIMO Transmit Preprocessing. IEEE VTC'07 (Spring). 22 - 25 Apr 2007. pp. 2228-2232 .

Record type: Conference or Workshop Item (Paper)

Abstract

In this contribution projection approximation subspace tracking using deflation (PASTD) is investigated in the context of MIMO transmit preprocessing systems by exploiting the specific property of Time Division Duplexing (TDD) techniques that the uplink and downlink channels are similar, since they both use the same carrier frequency. Hence the channel estimated from the received signal can also be used for transmit preprocessing. More explicitly, based on the received signal, the PASTD algorithm is used for tracking both the left and the right singular vectors of the MIMO channel matrix, which are required by eigenmode transmissions, instead of periodically reestimating the MIMO channel matrix and performing the singular value decomposition (SVD), which would impose a high computational complexity. A specific deficiency of the family of subspace tracking algorithms is their phase ambiguity imposed by the non-unique nature of the SVD, which is resolved in this treatise by employing differential encoding. The efficiency of the proposed subspace tracking scheme is demonstrated by our performance results, indicating that the advocated technique preforms within 1dB from the BER curve of the perfect channel estimation aided benchmarker.

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Published date: 2007
Additional Information: Event Dates: 22-25 April 2007
Venue - Dates: IEEE VTC'07 (Spring), 2007-04-22 - 2007-04-25
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 263933
URI: http://eprints.soton.ac.uk/id/eprint/263933
PURE UUID: d0e66288-7521-4282-95d9-a268ba9b4db2
ORCID for L.L. Yang: ORCID iD orcid.org/0000-0002-2032-9327
ORCID for L. Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 25 Apr 2007
Last modified: 03 Dec 2019 02:06

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Contributors

Author: W. Liu
Author: L.L. Yang ORCID iD
Author: L. Hanzo ORCID iD

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