Title :
Joint detection for UMTS: complexity and alternative solutions
Author_Institution :
CNET, Meylan, France
Abstract :
Joint detection within TD/CDMA multiple access scheme for UMTS is a good technique to reduce both inter-symbol and multiple access interference. But even the simplest algorithm, ZF-BLE (zero-forcing block-linear-equalizer), leads to more than 100 million operations per second in some cases at the mobile station, even for low rate services. As most of the complexity (70%) comes from the resolution of the linear system, two alternative solutions to decrease this complexity are presented within this paper: first, an approximation based on the convergence of the Cholesky decomposition performed within ZF-BLE is described. This method is a direct consequence of the block-Toeplitz structure of the linear system matrix; a compromise between complexity and performance has to be chosen. Then the idea of leaving the block treatment and replacing it with filtering is studied. Indeed, by inverting one row of a small part of the matrix equation, a filter for each CDMA code shall be constructed. The optimal length for the filters is discussed: the best result is obtained when taking into account samples which contribute efficiently to the estimated data
Keywords :
Toeplitz matrices; approximation theory; code division multiple access; computational complexity; convergence of numerical methods; equalisers; filtering theory; interference suppression; intersymbol interference; land mobile radio; signal detection; CDMA code; Cholesky decomposition convergence; ISI; TD/CDMA multiple access; UMTS; ZF-BLE; approximation; block-Toeplitz structure; complexity reduction; estimated data samples; filtering; inter-symbol interference; joint detection; linear system matrix; linear system resolution; low rate services; matrix equation; mobile station; multiple access interference; optimal filter length; wireless mobile communications; zero-forcing block-linear-equalizer; 3G mobile communication; Computational complexity; Digital signal processing; Equations; Filters; Linear systems; Matrix decomposition; Multiaccess communication; Multiple access interference; Viterbi algorithm;
Conference_Titel :
Vehicular Technology Conference, 1999 IEEE 49th
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-5565-2
DOI :
10.1109/VETEC.1999.778115