Abstract / truncated to 115 words (read the full abstract)

In this thesis, we present low latency general concatenated code structures suitable for parallel processing. We propose parallel decodable serially con- catenated codes (PDSCCs) which is a general structure to construct many variants of serially concatenated codes. Using this most general structure we derive parallel decodable serially concatenated convolutional codes (PDSC- CCs). Convolutional product codes which are instances of PDSCCCs are studied in detail. PDSCCCs have much less decoding latency and show al- most the same performance compared to classical serially concatenated con- volutional codes. Using the same idea, we propose parallel decodable turbo codes (PDTCs) which represent a general structure to construct parallel con- catenated codes. PDTCs have much less latency compared to classical ... toggle 9 keywords

iterative decoding concatenated codes soft decision decoding al- gorithms parallel processing decoding latency memory collision turbo equal- ization trellis coded modulation space time trellis coding

Information

Author
Gazi, Orhan
Institution
Middle East Technical University
Supervisor
Publication Year
2007
Upload Date
Dec. 7, 2009

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