Performance analysis of LDPC Convolutional Codes
| Autor: | Noor Hussain, Ayaz Hussain, Zahoor Ahmed Baloch |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Block code
Theoretical computer science Computer science Error floor Berlekamp–Welch algorithm BCJR algorithm Concatenated error correction code List decoding Reed–Muller code Data_CODINGANDINFORMATIONTHEORY Sequential decoding Serial concatenated convolutional codes Luby transform code Linear code Convolutional code Reed–Solomon error correction Fountain code Turbo code Tornado code Forward error correction Low-density parity-check code Algorithm Raptor code Decoding methods |
| Zdroj: | ICTC |
| DOI: | 10.1109/ictc.2013.6675426 |
| Popis: | Low Density Parity Check Convolutional Codes (LDPC-CCs) have the advantage of simple encoding and decoding. ASIC or FPGA implementation of LDPC-CCs have been shown to have very good complexity-performance trade-off. In this paper, we present a class of LDPC-CC and iterative algorithm to decode these codes. The construction technique of our code is simple and easy, compared to other LDPC-CCs, which reduces hardware complexity. The simulation results show that the performance of our proposed codes is better than the LDPC Block codes with the same decoding complexity per information bit. Our code also outperforms its counterpart LDPC-CCs. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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