Lucent Technologies Inc.

Bing Xu

Christopher John Nicol

Mark Andrew Bickerstaff

Ran-Hong Yan

The present invention discloses a single unified decoder for performing both convolutional decoding and turbo decoding in the one architecture. The unified decoder can be partitioned dynamically to perform required decoding operations on varying numbers of data streams at different throughput rates. It also supports simultaneous decoding of voice (convolutional decoding) and data (turbo decoding) streams. This invention forms the basis of a decoder that can decode all of the standards for TDMA, IS-95, GSM, GPRS, EDGE, UMTS, and CDMA2000. Processors are stacked together and interconnected so that they can perform separately as separate decoders or in harmony as a single high speed decoder. The unified decoder architecture can support multiple data streams and multiple voice streams simultaneously. Furthermore, the decoder can be dynamically partitioned as required to decode voice streams for different standards.

Reconfigurable architecture for decoding telecommunications signals

The present invention discloses a butterfly processor capable of performing convolutional decoding and LogMAP decoding in telecommunications systems. First and second add-compare-select modules are provided for receiving input path metrics. A branch metric calculator is also provided for receiving input data and extrinsic data. The branch metric calculator generates output branch metrics to each of the first and second add-compare-select modules. Each of the add-compare-select modules includes a log-sum correction means coupled to compare and select components. A controllable switch selectively couples outputs of the select components and the log-sum corrections means to enable either one of convolutional or LogMAP decoding.

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Tempe, AZ, United States of America

Bing Xu