Name
Title | ||
|---|---|---|
Adaptive reduced-rank processing based on joint and iterative interpolation, decimation, and filtering |
Abstract | ||
|---|---|---|
We present an adaptive reduced-rank signal processing technique for performing dimensionality reduction in general adaptive filtering problems. The proposed method is based on the concept of joint and iterative interpolation, decimation and filtering. We describe an iterative least squares (LS) procedure to jointly optimize the interpolation, decimation and filtering tasks for reduced-rank adaptive filtering. In order to design the decimation unit, we present the optimal decimation scheme and also propose low-complexity decimation structures. We then develop low-complexity least-mean squares (LMS) and recursive least squares (RLS) algorithms for the proposed scheme along with automatic rank and branch adaptation techniques. An analysis of the convergence properties and issues of the proposed algorithms is carried out and the key features of the optimization problem such as the existence of multiple solutions are discussed. We consider the application of the proposed algorithms to interference suppression in code-division multiple-access (CDMA) systems. Simulations results show that the proposed algorithms outperform the best known reduced-rank schemes with lower complexity. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/TSP.2009.2018641 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
adaptive reduced-rank processing,optimal decimation scheme,low-complexity decimation structure,decimation unit,general adaptive,proposed scheme,adaptive reduced-rank signal processing,reduced-rank scheme,iterative interpolation,proposed algorithm,reduced-rank adaptive,interpolation,least square,adaptive filter,signal processing,least mean square,adaptive filtering,least squares approximation,code division multiple access,adaptive filters,filtering,adaptive signal processing,iterative methods,optimization problem | Least squares,Mathematical optimization,Decimation,Iterative method,Interpolation,Filter (signal processing),Adaptive filter,Adaptive algorithm,Recursive least squares filter,Mathematics | Journal |
Volume | Issue | ISSN |
57 | 7 | 1053-587X |
Citations | PageRank | References |
32 | 1.17 | 19 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rodrigo C. de Lamare | 1 | 1461 | 179.59 |
| Raimundo Sampaio-Neto | 2 | 364 | 15.03 |
| de Lamare, R.C. | 3 | 652 | 33.42 |
| Sampaio-Neto, R. | 4 | 32 | 1.17 |