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Reduced-Complexity Maximum-Likelihood Detection in Multiple-Antenna-Aided Multicarrier Systems

Reduced-Complexity Maximum-Likelihood Detection in Multiple-Antenna-Aided Multicarrier Systems
Reduced-Complexity Maximum-Likelihood Detection in Multiple-Antenna-Aided Multicarrier Systems
In this contribution we explore a novel Optimized Hierarchy Reduced Search Algorithm (OHRSA)-aided space-time processing method, which may be regarded as an advanced extension of the Complex Sphere Decoder (CSD) method. The algorithm proposed extends the potential application range of the CSD method, as well as reduces the associated computational complexity.
21-28
Akhtman, Jos
6f612df7-9c17-4351-8340-5171fd174330
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Akhtman, Jos
6f612df7-9c17-4351-8340-5171fd174330
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Akhtman, Jos and Hanzo, Lajos (2005) Reduced-Complexity Maximum-Likelihood Detection in Multiple-Antenna-Aided Multicarrier Systems. 5th Int'l Workshop on Multi-Carrier Spread Spectrum, Oberpfaffenhofen, Germany. 14 - 16 Sep 2005. pp. 21-28 .

Record type: Conference or Workshop Item (Paper)

Abstract

In this contribution we explore a novel Optimized Hierarchy Reduced Search Algorithm (OHRSA)-aided space-time processing method, which may be regarded as an advanced extension of the Complex Sphere Decoder (CSD) method. The algorithm proposed extends the potential application range of the CSD method, as well as reduces the associated computational complexity.

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More information

Published date: 2005
Additional Information: Invited Paper Event Dates: 14-16 September 2005
Venue - Dates: 5th Int'l Workshop on Multi-Carrier Spread Spectrum, Oberpfaffenhofen, Germany, 2005-09-14 - 2005-09-16
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 261237
URI: http://eprints.soton.ac.uk/id/eprint/261237
PURE UUID: bf08bd7f-1be3-4036-9476-abf32aaee357
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 21 Sep 2005
Last modified: 18 Mar 2024 02:33

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Contributors

Author: Jos Akhtman
Author: Lajos Hanzo ORCID iD

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