EPSRC Reference: |
GR/M95653/01 |
Title: |
BLIND ALGORITHMS FOR ADAPTIVE CDMA RECEIVERS IN WIRELESS COMMUNICATIONS |
Principal Investigator: |
Constantinides, Professor AG |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Electrical and Electronic Engineering |
Organisation: |
Imperial College London |
Scheme: |
Standard Research (Pre-FEC) |
Starts: |
01 June 2000 |
Ends: |
31 May 2003 |
Value (£): |
201,359
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EPSRC Research Topic Classifications: |
Digital Signal Processing |
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EPSRC Industrial Sector Classifications: |
Communications |
Creative Industries |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
The focus of this proposal is the design, analysis and evaluation of novel blind algorithms for future adaptive CDMA receivers. We aim to exploit a combined constant modulus and cross-correlation cost function to derive blind algorithms which guarantee to separate multiple users. We plan to take advantage of block-based estimators through data re-use and fixed point iteration otimisation approaches to improve convergence rate with limited number of data samples. A semi-blind scheme will also be important for fast fading channels. We intend to study the compatability of the new algorithms for uplink and downlink receiver architectures. We will employ space-time processing in the uplink due to the additional diversity afforded by a multiple antenna smart basestation and temporal diversity as in a Rake receiver in the downlink. We will perform analytical studies of these algorithms and simulation studies based upon synthetic and real signals provided by Telcom-Modus. The effects of asynchronism, loss of power control, a time-varying Rayleigh fading multipath environment, and the number and levels of multiaccess interference will be considered. The computational complexity and suitability of the resulting algorithms for practical implementation will also be considered. Finally, blind algorithms suitable for an hybrid CDMA/TDMA receiver with be proposed.
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Key Findings |
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Potential use in non-academic contexts |
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Impacts |
Description |
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Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
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Project URL: |
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Further Information: |
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Organisation Website: |
http://www.imperial.ac.uk |