Title :
Blind Adaptive Linear Parallel Interference Canceller for DS-CDMA in Frequency Selective Fading Channels
Author :
Vinhoza, Tiago T. V. ; De Lamare, Rodrigo C. ; Sampaio-Neto, Raimundo
Author_Institution :
CETUC-PUC-Rio, Rio de Janeiro
Abstract :
In this work we propose an adaptive blind linear parallel interference canceller (PIC) for direct-sequence code division multiple access (DS-CDMA) systems in frequency selective fading channels. A code-constrained constant modulus (CCM) design criterion based on constrained optimization techniques is proposed for PIC detectors in scenarios subject to multipath, and computationally efficient blind adaptive stochastic gradient (SG) and recursive least squares (RLS) algorithms are described for estimating both the receiver and channel parameters. Simulation results for an uplink scenario assess the algorithms, the proposed blind adaptive PIC detectors against existing receivers and evaluate the effects of error propagation of the new cancellation techniques
Keywords :
adaptive estimation; channel estimation; code division multiple access; fading channels; gradient methods; interference suppression; least squares approximations; multiuser detection; recursive estimation; spread spectrum communication; CCM design; DS-CDMA system; RLS; blind adaptive linear PIC detector; channel parameter estimation; code-constrained constant modulus; constrained optimization technique; direct-sequence code division multiple access; error propagation; frequency selective fading channel; parallel interference canceller; receiver estimation; recursive least squares algorithm; stochastic gradient algorithm; Algorithm design and analysis; Constraint optimization; Design optimization; Detectors; Fading; Frequency conversion; Interference cancellation; Interference constraints; Multiaccess communication; Stochastic processes;
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.2006.311773