Multi-Linear Subspace Estimation and Projection for Efficient RFI Excision in SIMO Systems

被引：0

作者：

Getuh, Tilahun Melkamu ^{[1
,2
]}

Ajib, Wessam ^{[2
]}

Yeste-Ojedat, Omar A. ^{[1
]}

机构：

[1] Ecole Technol Super, Montreal, PQ, Canada

[2] Univ Quebec Montreal, Montreal, PQ, Canada

来源：

2015 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP) | 2015年

关键词：

RFI excision; multi-linear subspace estimation; multi-linear projection; MLSEP; tensor-based signal processing; INTERFERENCE MITIGATION; RADIO; TIME;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The paper introduces the multi-linear algebra framework to the radio frequency interference (RFI) excision research by proposing a multi-linear subspace estimation and projection (MLSEP) algorithm for efficient RFI excision in single-input multiple-output (SIMO) systems. Thereafter, the paper compares the MLSEP algorithm with the state-of-the-art projection-based RFI excision algorithms. Eventually, Matlab (R) Monte-Carlo simulations corroborate that MLSEP outperforms the state-of-the-art projection-based RFI excision algorithms.

引用

页码：1397 / 1401

页数：5

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