Interleaver properties and their applications to the trellis complexity analysis of turbo codes
Roberto Garello, G. Montorsi, Sergio Benedetto, Giovanni Cancellieri
Abstract
Roberto Garello, G. Montorsi, Sergio Benedetto, Giovanni Cancellieri
Abstract
In this paper, the basic theory of interleavers is revisited in a semi-tutorial manner, and extended to encompass noncausal interleavers. The parameters that characterize the interleaver behavior (like delay, latency, and period) are clearly defined. The input-output interleaver code is introduced and its complexity studied. Connections among various interleaver parameters are explored. The classes of convolutional and block interleavers are considered, and their practical implementation discussed. The trellis complexity of turbo codes is tied to the complexity of the constituent interleaver. A procedure of complexity reduction by coordinate permutation is also presented, together with some examples of its application.
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In this paper, the basic theory of interleavers is revisited in a semi-tutorial manner, and extended to encompass noncausal interleavers. The parameters that characterize the interleaver behavior (like delay, latency, and period) are clearly defined. The input-output interleaver code is introduced and its complexity studied. Connections among various interleaver parameters are explored. The classes of convolutional and block interleavers are considered, and their practical implementation discussed. The trellis complexity of turbo codes is tied to the complexity of the constituent interleaver. A procedure of complexity reduction by coordinate permutation is also presented, together with some examples of its application.
Key concepts: Turbo code, Convolutional code, Trellis (graph), Computer science, Block code, Serial concatenated convolutional codes, Algorithm, Space–time trellis code