Robust MIMO Channel Estimation from Incomplete and Corrupted Measurements
Paper i proceeding, 2018

Location-aware communication is one of the enabling techniques for future 5G networks. It requires accurate temporal and spatial channel estimation from multidimensional data. Most of the existing channel estimation techniques assume that the measurements are complete and noise is Gaussian. While these approaches are brittle to corrupted or outlying measurements, which are ubiquitous in real applications. To address these issues, we develop a lp-norm minimization based iteratively reweighted higher-order singular value decomposition algorithm. It is robust to Gaussian as well as the impulsive noise even when the measurement data is incomplete. Compared with the state-of-the-art techniques, accurate estimation results are achieved for the proposed approach.

Författare

Fuxi Wen

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Kommunikationssystem

Zhongmin Wang

Xian Univ Posts & Telecommun

Chen Liang

Xian Univ Posts & Telecommun

2018 21st International Conference on Information Fusion (FUSION)

1086-1091

International Conference on Information Fusion
Cambridge, United Kingdom,

Ämneskategorier

Elektroteknik och elektronik

DOI

10.23919/ICIF.2018.8455326

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Senast uppdaterat

2019-12-06