摘要：The field of forward error correction was greatly influenced by the discovery of turbo codes. This invention led to a great improvement in terms of Bit-Error-Rate (BER). Various schemes have been proposed and are based either on parallel or serial designs of concatenated decoders. These decoders are iterative using SOVA (soft output viterbi Algorithm) or MAP (maximum a posteriori) algorithms. They introduce superior recovery functions of data which have been transmitted through noisy environments. Actually, these turbo schemes compared to convolutional codes achieve better data recovery with the increase of the constraint length. This paper shows the Turbo encoder and SOVA Decoder Implementation by Simulation carried out for different Bit Error Rates, iterations, constrained lengths and Frame sizes in Additive White Gaussian Noise Channels.
