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
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