Research on Decoding Performance of Turbo Codes
GE Wan-cheng
Abstract
GE Wan-cheng
Abstract
Turbo codes are based on the idea of random encoding and the performance approaches the Shannon limit by combining convolutional encoding with interleaver, so they are used in 3G including the other power-limited area such as deep sea communication and satellite communication. Turbo codes theory and decoding algorithms are presented. The performance of Turbo codes is simulated with Matlab. The influence on the performance of Turbo codes, which is resulted from the iterations, decoding algorithms, frame sizes and sub-codes, is studied. The simulation results show that Turbo codes are of good performance in error correcting and have wide application prospect.
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Turbo codes are based on the idea of random encoding and the performance approaches the Shannon limit by combining convolutional encoding with interleaver, so they are used in 3G including the other power-limited area such as deep sea communication and satellite communication. Turbo codes theory and decoding algorithms are presented. The performance of Turbo codes is simulated with Matlab. The influence on the performance of Turbo codes, which is resulted from the iterations, decoding algorithms, frame sizes and sub-codes, is studied. The simulation results show that Turbo codes are of good performance in error correcting and have wide application prospect.
Key concepts: Turbo code, Computer science, Serial concatenated convolutional codes, Turbo equalizer, BCJR algorithm, Convolutional code, Concatenated error correction code, Noisy-channel coding theorem