Title
Space-time adaptive reduced-rank detectors for DS-CDMA based on interpolated FIR filters
Abstract
A space-time adaptive reduced-rank processor for interference suppression in DS-CDMA systems is proposed based on interpolated FIR filters. The interpolated minimum mean squared error (MMSE) solution is described for a novel scheme where the interpolator is rendered adaptive and adaptive algorithms are developed for estimating the parameters of both reduced-rank receiver and interpolator. Linear and successive interference cancellation (SIC) space-time receivers with the proposed structure are investigated for mitigating multi-access interference (MAI) and intersymbol interference (ISI) in an uplink scenario. An analysis of the convergence properties of the proposed structure is carried out and simulations for typical scenarios are performed, showing the superiority of the method against previously reported ones
Year
DOI
Venue
2006
10.1109/WCNC.2006.1696587
Wireless Communications and Networking Conference, 2006. WCNC 2006. IEEE
Keywords
Field
DocType
FIR filters,adaptive signal detection,code division multiple access,interference suppression,intersymbol interference,least mean squares methods,radiofrequency interference,spread spectrum communication,DS-CDMA,MAI,MMSE,interference suppression,interpolated FIR filters,intersymbol interference,minimum mean squared error,multiaccess interference,reduced-rank receiver,space-time adaptive reduced-rank detectors,successive interference cancellation
Intersymbol interference,Control theory,Computer science,Single antenna interference cancellation,Minimum mean square error,Algorithm,Real-time computing,Interference (wave propagation),Adaptive algorithm,Estimation theory,Finite impulse response,Spread spectrum
Conference
Volume
ISSN
ISBN
4
1525-3511 E-ISBN : 1-4244-0270-0
1-4244-0270-0
Citations 
PageRank 
References 
1
0.36
6
Authors
4
Name
Order
Citations
PageRank
Rodrigo C. de Lamare11461179.59
Raimundo Sampaio Neto215525.30
de Lamare, R.C.365233.42
Sampaio-Neto, R.4133.51