EPSRC Reference: |
GR/L88283/01 |
Title: |
A NEW DECODING ALGORITHM AND ANALOGUE IMPLEMENTATION FOR MINIATURISED LOW POWER CONVOLUTIONAL DECODERS |
Principal Investigator: |
Taylor, Professor J |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Electronic and Electrical Engineering |
Organisation: |
UCL |
Scheme: |
Standard Research (Pre-FEC) |
Starts: |
01 April 1998 |
Ends: |
30 September 2001 |
Value (£): |
171,155
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EPSRC Research Topic Classifications: |
Digital Signal Processing |
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EPSRC Industrial Sector Classifications: |
No relevance to Underpinning Sectors |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
This project is concerned with the design of convolutional decoders employing a new decoding algorithm implemented using new current-mode analogue circuits and subsystems. Convolutional decoders have long been important in applications where very noisy channels are encountered, such as satellite communications. The technique has recently become much more significant with the advent of new application areas such as mobile radio systems of various types and digital magnetic disk recording. Convolutional decoders conventionally employ the Viterbi algorithm (VA), implemented if software or in digital hardware, depending on the requirements and constraints of the application. Our proposed algorithm enables a convolutional decoder to be constructed using analogue components only, which offers the potential for the construction of very small and economical systems. In addition, our circuits and subsystems can be used to improve certain aspects of the performance of existing decoders employing the VA. Our preliminary studies suggest that the proposed new circuits, subsystems and algorithm will exert a considerable influence on the future design of convolutional decoders.
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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: |
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