### Abstract

In the previous work, a single antenna interference cancellation (SAIC) algorithm named least mean square-blind joint maximum likelihood sequence estimation (LMS-BJMLSE) has been proposed. However, LMS-BJMLSE requires a long training sequence (TS) for channel estimation, which reduces the transmission efficiency. In another work, in order to solve this problem, a subcarrier identification and interpolation algorithm was proposed, in which the slowly converging subcarriers are identified by exploiting the correlation between the mean-square error (MSE) produced by LMS and the mean-square deviation (MSD) of the desired channel estimate. However, this correlation relationship was only found based on simulation results and no clear mathematical proof was given. The performance of the algorithm was only evaluated for the case of single interference. In this paper, the mathematical proof of the correlation relationship between MSE and MSD is given. Furthermore, we generalize LMS-BJMLSE from single antenna to receiver diversity, which is shown to provide a huge improvement over single antenna. The performance of LMS-BJMLSE is also evaluated for the case of dual interference.

Original language | English |
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Title of host publication | 2011 IEEE Vehicular Technology Conference Fall, VTC Fall 2011 - Proceedings |

DOIs | |

Publication status | Published - 2011 Dec 23 |

Event | IEEE 74th Vehicular Technology Conference, VTC Fall 2011 - San Francisco, CA, United States Duration: 2011 Sep 5 → 2011 Sep 8 |

### Publication series

Name | IEEE Vehicular Technology Conference |
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ISSN (Print) | 1550-2252 |

### Conference

Conference | IEEE 74th Vehicular Technology Conference, VTC Fall 2011 |
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Country | United States |

City | San Francisco, CA |

Period | 11/9/5 → 11/9/8 |

### ASJC Scopus subject areas

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

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## Cite this

*2011 IEEE Vehicular Technology Conference Fall, VTC Fall 2011 - Proceedings*[6092979] (IEEE Vehicular Technology Conference). https://doi.org/10.1109/VETECF.2011.6092979