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