Title : 
Near-far resistant receivers for WCDMA downlink
         
        
            Author : 
Min, Shen ; Li-Sha, Zhou ; Deng, Pan
         
        
            Author_Institution : 
Chongqing Univ. of Posts & Telecommun., China
         
        
        
        
        
        
            Abstract : 
Minimum Mean Squared Error (MMSE) criterion can be used to obtain near-far resistant single-user receivers in DS-CDMA systems, and the LMMSE-RAKE receiver has shown promising performance in FRAMES WCDMA downlink receivers. Special concern is focused on the ability to achieve correct timing of the received signal in near-far scenarios, so two adaptive equalizers based on MMSE receivers-LMS and RLS algorithms are proposed to estimate the propagation delays. And more, a two-step adaptation using DA/DD methods to achieve good tracking is described. The simulation results show that even in severe near-far situations, the RLS receiver can obtain satisfactory performance.
         
        
            Keywords : 
adaptive equalisers; code division multiple access; least mean squares methods; radio receivers; LMMSE-RAKE receiver; LMS algorithm; RLS algorithm; RLS receiver; WCDMA downlink receivers; adaptive equalizers; direct sequence CDMA systems; least mean square algorithm; least minimum mean squared error receiver; near-far resistant single user receivers; propagation delays; recursive least squares algorithm; two step adaptation methods; wideband code division multiple access; Detectors; Downlink; Equalizers; Least squares approximation; Multiaccess communication; Multiple access interference; Power control; Propagation delay; Resonance light scattering; Timing;
         
        
        
        
            Conference_Titel : 
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
         
        
            Conference_Location : 
Nanjing
         
        
            Print_ISBN : 
0-7803-7702-8
         
        
        
            DOI : 
10.1109/ICNNSP.2003.1281183