Performance of Serial Concatenated Convolutional Codes on faded channels
| Autor: | Hanan Adeel, Sajjad Ahmed Ghauri, Muhammad Sajid Javaid, Hasan Humayun |
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| Rok vydání: | 2011 |
| Předmět: |
Computer science
Speech recognition Data_CODINGANDINFORMATIONTHEORY Serial concatenated convolutional codes Sequential decoding symbols.namesake Additive white Gaussian noise Convolutional code symbols Algorithm Encoder Performance metric Decoding methods Computer Science::Information Theory Communication channel |
| Zdroj: | International Conference on Information Society (i-Society 2011). |
| DOI: | 10.1109/i-society18435.2011.5978448 |
| Popis: | An analysis of performance of Serially Concatenated Convolutional Codes (SCCC) is evaluated on Additive White Gaussian Noise model channel, which is used as a basis, and actions of SCCC on Raleigh flat slow and flat fast faded channels are evaluated in this research work. In DCS the SCCC are utilized to reduce the bit error rates. SCCC encoder consists of RSCC. The major thrust is iterative decoding. This research has utilized BCJR and TDA decoding algorithms. This research analyzed SCCC with interleaved scheme. The BPSK modulation was considered. Performance metric for SCCC over Memory less AWGN channel, and memory based channels i.e. Rayleigh slow and fast Faded Channel is BER verses SNR. |
| Databáze: | OpenAIRE |
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