An Adaptive Turbo Decoding Algorithm

The extrinsic information and the received systematic observations exert different influence on decision-making with the change of SNR values for turbo iterative decoding. By multipling a weighted coefficient for the priori information, this paper proposed a novel adaptive iterative soft decoding al...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:2008 4th International Conference on Wireless Communications, Networking and Mobile Computing s. 1 - 3
Hlavní autoři: Li Jianping, Cai Chaoshi, Feng Yunfei
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.10.2008
Témata:
Attenuation
AWGN
Binary phase shift keying
Convergence
Data mining
Fading
Iterative algorithms
Iterative decoding
State estimation
Turbo codes
ISBN:9781424421077, 1424421071
ISSN:2161-9646
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:The extrinsic information and the received systematic observations exert different influence on decision-making with the change of SNR values for turbo iterative decoding. By multipling a weighted coefficient for the priori information, this paper proposed a novel adaptive iterative soft decoding algorithm for turbo codes, which alters the proportion of the extrinsic information and the received systematic observations in the soft output values of turbo decoding. In this way, turbo decoding can trace the changes of channel and obtain improved performance. Simulation results show that the proposed scheme can lower the error floor of turbo codes.
ISBN:9781424421077
1424421071
ISSN:2161-9646
DOI:10.1109/WiCom.2008.356