DocumentCode :
2288456
Title :
Viterbi decoding of convolutional codes with reliability information for a noncoherent RAKE-receiver in a CDMA-environment
Author :
Benthin, M. ; Kammeyer, K.-D.
Author_Institution :
Dept. of Telecommun., Tech. Univ. Hamburg-Harburg, Germany
Volume :
3
fYear :
1994
fDate :
28 Nov- 2 Dec 1994
Firstpage :
1758
Abstract :
The generation and the use of reliability information for the decoding process of convolutionally encoded data in the context of a CDMA-environment is addressed. Special emphasis lies on the noncoherent detection of M-ary orthogonal symbols with a RAKE-receiver. Although symbol by symbol decisions are carried out, it is possible to characterize the reliability of the individual bits with specific soft information. This can be exploited successfully by a Viterbi decoder. A significant improvement of the bit error performance is achieved, even on low signal to noise conditions. The paper starts with the derivation of the maximum likelihood (ML) criteria for the detection of binary data on the AWGN channel and the binary symmetric channel (BSC)
Keywords :
Gaussian channels; Viterbi decoding; code division multiple access; coding errors; convolutional codes; error statistics; maximum likelihood detection; radio receivers; telecommunication network reliability; AWGN channel; CDMA-environment; M-ary orthogonal symbols; Viterbi decoder; Viterbi decoding; binary data detection; binary symmetric channel; bit error performance; convolutional codes; convolutionally encoded data; low signal to noise conditions; maximum likelihood detection; noncoherent RAKE-receiver; noncoherent detection; reliability information; soft information; Convolution; Convolutional codes; Decoding; Electronic mail; Gaussian noise; Multiaccess communication; Optimized production technology; Table lookup; Viterbi algorithm; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 1994. GLOBECOM '94. Communications: The Global Bridge., IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-1820-X
Type :
conf
DOI :
10.1109/GLOCOM.1994.513175
Filename :
513175
Link To Document :
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