Title :
A simple way to compute minimum Euclidean distance for synchronous coded multiuser systems
Author_Institution :
Dept. of Eng., Australian Nat. Univ., Canberra, ACT, Australia
fDate :
5/1/1998 12:00:00 AM
Abstract :
We show that the minimum squared Euclidean distance for a synchronous multiuser system using convolutional codes is no less than the product of the free distance of the code and the minimum Euclidean distance for the corresponding uncoded synchronous multiuser system. When all users use an identical convolutional code, equality holds. Thus the relationship can be used to compute the minimum squared Euclidean distance for a coded system. The results also indicate that in terms of maximizing the minimum squared Euclidean distance, it is better if all users use nonidentical error control codes.
Keywords :
code division multiple access; convolutional codes; spread spectrum communication; synchronisation; DS-CDMA; convolutional code; free distance; minimum Euclidean distance; minimum squared Euclidean distance; nonidentical error control codes; synchronous coded multiuser systems; uncoded synchronous multiuser system; Additive white noise; Convolutional codes; Error correction; Euclidean distance; Gaussian noise; Matched filters; Matrix decomposition; Multiaccess communication; Multiuser detection; Symmetric matrices;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/4234.673653