DocumentCode :
1316393
Title :
A distance spectrum interpretation of turbo codes
Author :
Perez, L.C. ; Seghers, J. ; Costello, D.J., Jr.
Author_Institution :
Div. of Eng., Texas Univ., San Antonio, TX, USA
Volume :
42
Issue :
6
fYear :
1996
Firstpage :
1698
Lastpage :
1709
Abstract :
The performance of turbo codes is addressed by examining the code\´s distance spectrum. The "error floor" that occurs at moderate signal-to-noise ratios is shown to be a consequence of the relatively low free distance of the code. It is also shown that the "error floor" can be lowered by increasing the size of the interleaver without changing the free distance of the code. Alternatively, the free distance of the code may be increased by using primitive feedback polynomials. The excellent performance of turbo codes at low signal-to-noise ratios is explained in terms of the distance spectrum. The interleaver in the turbo encoder is shown to reduce the number of low-weight codewords through a process called "spectral thinning." This thinned distance spectrum results in the free distance asymptote being the dominant performance parameter for low and moderate signal-to-noise ratios.
Keywords :
coding errors; concatenated codes; decoding; error statistics; interleaved codes; polynomials; spectral analysis; concatenated codes; distance spectrum; error floor; free distance asymptote; interleaver size; low free distance; low signal to noise ratios; low weight codewords; moderate signal to noise ratios; performance parameter; primitive feedback polynomials; spectral thinning; thinned distance spectrum; turbo codes performance; turbo encoder; Bit error rate; Convolutional codes; Feedback; Iterative decoding; NASA; Niobium; Signal processing; Signal to noise ratio; Turbo codes;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/18.556666
Filename :
556666
Link To Document :
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