DocumentCode :
2023374
Title :
Energy allocation strategies for turbo codes with short frames
Author :
Salah, M.M. ; Raines, R.A. ; Temple, M.A. ; Bailey, T.G.
Author_Institution :
Inst. of Technol., Wright-Patterson AFB, OH, USA
fYear :
2000
fDate :
2000
Firstpage :
408
Lastpage :
411
Abstract :
Turbo codes have been shown to approach the Shannon limit for error correcting capability at low signal-to-noise ratios given large sized frames. Extensive research efforts have been examining ways to enhance the performance of turbo codes for short frames (e.g., voice transmission). One way of enhancing the performance is to optimize the energy allocated to each bit stream to achieve the best performance possible. In standard turbo codes, all bits are transmitted with equal energy. Changing the energy allocation strategy can enhance the performance of turbo codes with short frame lengths. Using computer simulation and analytic bounds, different strategies are discussed and applicability to short frame applications investigated
Keywords :
concatenated codes; convolutional codes; error correction codes; noise; turbo codes; voice communication; SNR; Shannon limit; analytic bounds; computer simulation; energy allocation; error correction; large sized frames; low signal-to-noise ratios; parallel concatenated convolutional codes; performance; short frame lengths; turbo codes; voice transmission; AWGN; Binary phase shift keying; Code standards; Computer errors; Convolutional codes; Error correction codes; Iterative decoding; Phase modulation; Signal to noise ratio; Turbo codes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology: Coding and Computing, 2000. Proceedings. International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
0-7695-0540-6
Type :
conf
DOI :
10.1109/ITCC.2000.844262
Filename :
844262
Link To Document :
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