Title | ||
---|---|---|
Space-time adaptive reduced-rank processor for interference mitigation in DS-CDMA systems |
Abstract | ||
---|---|---|
A space-time adaptive reduced-rank processor for interference mitigation in DS-CDMA systems is proposed based on interpolated finite impulse response filters with time- varying interpolators. The proposed space-time processor allows a significant reduction in the number of estimation elements, thereby increasing the convergence and tracking performance of the estimation algorithms. In order to compute the parameters of the proposed space-time processor, a least squares design is presented and computationally efficient recursive least-squares (RLS) algorithms are developed for estimating the parameters of both reduced-rank receiver and interpolator. A linear and successive interference cancellation space-time receivers based on the proposed reduced-rank processor for mitigating multi-access and intersymbol interference in an uplink scenario are proposed. An analysis of the convergence properties of the proposed space-time processor is carried out and analytical expressions are derived for predicting the mean squared error performance of the proposed RLS algorithm. Simulation results show that the proposed reduced-rank space-time processor and RLS algorithms outperform existing techniques at lower complexity. |
Year | DOI | Venue |
---|---|---|
2008 | 10.1049/iet-com:20070265 | Communications, IET |
Keywords | Field | DocType |
FIR filters,code division multiple access,estimation theory,interference suppression,interpolation,intersymbol interference,least squares approximations,time-varying filters,DS-CDMA system,finite impulse response filter,intersymbol interference,linear interference cancellation,parameter estimation,recursive least square algorithm,reduced-rank receiver,space-time adaptive reduced-rank processor,time-varying interpolator | Signal processing,Intersymbol interference,Digital filter,Control theory,Single antenna interference cancellation,Mean squared error,Estimation theory,Finite impulse response,Mathematics,Recursive least squares filter | Journal |
Volume | Issue | ISSN |
2 | 2 | 1751-8628 |
Citations | PageRank | References |
5 | 0.51 | 16 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
de Lamare, R.C. | 1 | 652 | 33.42 |
Sampaio-Neto, R. | 2 | 5 | 0.51 |