### Abstract

This paper presents a novel training-based adaptive linear receiver to suppress the multiple access interference, which has been one of the central issues in DS/CDMA wireless communication systems. The proposed receiver is derived by extending the Krylov-proportionate normalized least-mean-square (KPNLMS) algorithm to complex-valued signals. The key idea of KPNLMS is (a) sparse representation of the minimum mean square error (MMSE) receiver based on a certain Krylov subspace, (b) use of the 'sparsity' for fast convergence, and (c) simplification to keep linear complexity per iteration. To clarify the convergence properties of the proposed receiver, its derivation from the variable-metric version of the adaptive projected subgradient method (V-APSM) is presented. The simulation results demonstrate the efficacy of the proposed receiver.

Original language | English |
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Title of host publication | Proceedings of the 2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008 |

Pages | 169-174 |

Number of pages | 6 |

DOIs | |

Publication status | Published - 2008 Dec 1 |

Event | 2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008 - Cancun, Mexico Duration: 2008 Oct 16 → 2008 Oct 19 |

### Publication series

Name | Proceedings of the 2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008 |
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### Other

Other | 2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008 |
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Country | Mexico |

City | Cancun |

Period | 08/10/16 → 08/10/19 |

### Fingerprint

### Keywords

- Adaptive filter
- CDMA
- Krylov subspace
- Linear receiver

### ASJC Scopus subject areas

- Artificial Intelligence
- Software
- Electrical and Electronic Engineering

### Cite this

*Proceedings of the 2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008*(pp. 169-174). [4685474] (Proceedings of the 2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008). https://doi.org/10.1109/MLSP.2008.4685474