Name
Title | ||
|---|---|---|
Blind Adaptive Constrained Reduced-Rank Parameter Estimation Based on Constant Modulus Design for CDMA Interference Suppression |
Abstract | ||
|---|---|---|
This paper proposes a multistage decomposition for blind adaptive parameter estimation in the Krylov subspace with the code-constrained constant modulus (CCM) design criterion. Based on constrained optimization of the constant modulus cost function and utilizing the Lanczos algorithm and Arnoldi-like iterations, a multistage decomposition is developed for blind parameter estimation. A family of computationally efficient blind adaptive reduced-rank stochastic gradient (SG) and recursive least squares (RLS) type algorithms along with an automatic rank selection procedure are also devised and evaluated against existing methods. An analysis of the convergence properties of the method is carried out and convergence conditions for the reduced-rank adaptive algorithms are established. Simulation results consider the application of the proposed techniques to the suppression of multiaccess and intersymbol interference in DS-CDMA systems. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/TSP.2007.913161 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
convergence property,convergence condition,cdma interference suppression,parameter estimation,computationally efficient blind adaptive,constant modulus design,code-constrained constant modulus,blind adaptive constrained reduced-rank,reduced-rank stochastic gradient,constant modulus cost function,blind adaptive parameter estimation,multistage decomposition,reduced-rank adaptive algorithm,blind parameter estimation,code division multiple access,lanczos algorithm,intersymbol interference,cost function,constrained optimization,constraint optimization,stochastic processes,krylov subspace,spread spectrum communication,optimization,convergence | Krylov subspace,Mathematical optimization,Intersymbol interference,Control theory,Iterative method,Lanczos algorithm,Estimation theory,Adaptive algorithm,Mathematics,Recursive least squares filter,Constrained optimization | Journal |
Volume | Issue | ISSN |
56 | 6 | 1053-587X |
Citations | PageRank | References |
70 | 1.77 | 41 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| de Lamare, R.C. | 1 | 652 | 33.42 |
| M. Haardt | 2 | 495 | 45.19 |
| R. Sampaio-Neto | 3 | 138 | 8.48 |