### Abstract

We consider a block fading frequency selective multi-input multi-output (MIMO) channel in additive white Gaussian noise (AWGN). The channel input is a training vector superimposed on a linearly precoded vector of Gaussian symbols. This form of precoding is referred to as affine precoding. We derive the channel Cramer-Rao bound (CRB) and we show that tr(CRB) can be lowered if we design the precoder and training such that the channel estimation through the training component is not affected by the precoded symbols. We propose a deterministic channel estimation algorithm which combines a second order blind estimator capitalized on the redundant precoding, with a standard linear estimator which exploits only training. The simulation results show a performance improvement over the least square (LS) which utilizes only training to obtain the channel estimate.

Original language | English (US) |
---|---|

Title of host publication | Proceedings of the 2003 IEEE Workshop on Statistical Signal Processing, SSP 2003 |

Publisher | IEEE Computer Society |

Pages | 442-445 |

Number of pages | 4 |

ISBN (Electronic) | 0780379977 |

DOIs | |

State | Published - Jan 1 2003 |

Externally published | Yes |

Event | IEEE Workshop on Statistical Signal Processing, SSP 2003 - St. Louis, United States Duration: Sep 28 2003 → Oct 1 2003 |

### Publication series

Name | IEEE Workshop on Statistical Signal Processing Proceedings |
---|---|

Volume | 2003-January |

### Other

Other | IEEE Workshop on Statistical Signal Processing, SSP 2003 |
---|---|

Country | United States |

City | St. Louis |

Period | 9/28/03 → 10/1/03 |

### Keywords

- AWGN
- Additive white noise
- Channel estimation
- Channel state information
- Fading
- Frequency domain analysis
- Frequency estimation
- Least squares approximation
- MIMO
- Stacking

### ASJC Scopus subject areas

- Electrical and Electronic Engineering
- Applied Mathematics
- Signal Processing
- Computer Science Applications

## Fingerprint Dive into the research topics of 'Channel estimation for precoded MIMO systems'. Together they form a unique fingerprint.

## Cite this

*Proceedings of the 2003 IEEE Workshop on Statistical Signal Processing, SSP 2003*(pp. 442-445). [1289442] (IEEE Workshop on Statistical Signal Processing Proceedings; Vol. 2003-January). IEEE Computer Society. https://doi.org/10.1109/SSP.2003.1289442