Title :
Minimum Mean Squared Error Iterative Successive Parallel Arbitrated Decision Feedback Detectors for DS-CDMA Systems
Author :
De Lamare, Rodrigo C. ; Sampaio-Neto, Raimundo
Author_Institution :
Dept. of Electron., York Univ.
Abstract :
In this paper we propose minimum mean squared error (MMSE) iterative successive parallel arbitrated decision feedback (DF) receivers for direct sequence code division multiple access (DS-CDMA) systems. We describe the MMSE design criterion for DF multiuser detectors along with successive, parallel and iterative interference cancellation structures. A novel efficient DF structure that employs successive cancellation with parallel arbitrated branches and a near-optimal low complexity user ordering algorithm are presented. The proposed DF receiver structure and the ordering algorithm are then combined with iterative cascaded DF stages for mitigating the deleterious effects of error propagation. Simulation results for an uplink scenario with uncoded and convolutionally encoded systems assess the new iterative DF detectors against linear receivers and evaluate the effects of error propagation of the new cancellation methods against existing schemes
Keywords :
code division multiple access; convolutional codes; interference suppression; iterative methods; least mean squares methods; multiuser detection; spread spectrum communication; DF receiver structure; DS-CDMA system; MMSE; convolutionally encoded system; decision feedback multiuser detector; direct sequence code division multiple access; error propagation; interference cancellation; iterative successive parallel arbitration; minimum mean squared error; ordering algorithm; uncoded system; AWGN; Detectors; Direct-sequence code-division multiple access; Feedback; Gaussian noise; Interference cancellation; Iterative algorithms; Matched filters; Multiaccess communication; Spread spectrum communication;
Conference_Titel :
Spread Spectrum Techniques and Applications, 2006 IEEE Ninth International Symposium on
Conference_Location :
Manaus-Amazon
Print_ISBN :
0-7803-9779-7
Electronic_ISBN :
0-7803-9780-0
DOI :
10.1109/ISSSTA.2006.311774
