Graduate School and Research Center in Digital Sciences

Robust pilot decontamination: a joint angle and power domain approach

Yin, Haifan; Cottatellucci, Laura; Gesbert, David; Müller, Ralf R.; He, Gaoning

ICASSP 2016, 41st IEEE International Conference on Acoustics, Speech and Signal Processing, March 20-25, 2016, Shanghai, China

In this paper we propose a novel robust channel estimation algorithm exploiting path diversity in both angle and power domains, relying on a suitable combination of the spatial filtering and amplitude based projection. The proposed approach is able to cope with a wide range of system and topology scenarios, including those where interference channel may overlap with desired channels in terms of multipath angles of arrival (AoA) or exceed them in terms of received power. We establish the analytical conditions under which the proposed channel estimator is fully decontaminated.

Document Doi Bibtex

Title:Robust pilot decontamination: a joint angle and power domain approach
Keywords:massive MIMO, pilot decontamination, channel estimation, covariance, eigenvalue decomposition
Department:Communication systems
Eurecom ref:4811
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Bibtex: @inproceedings{EURECOM+4811, doi = {}, year = {2016}, title = {{R}obust pilot decontamination: a joint angle and power domain approach}, author = {{Y}in, {H}aifan and {C}ottatellucci, {L}aura and {G}esbert, {D}avid and {M}{\"u}ller, {R}alf {R}. and {H}e, {G}aoning}, booktitle = {{ICASSP} 2016, 41st {IEEE} {I}nternational {C}onference on {A}coustics, {S}peech and {S}ignal {P}rocessing, {M}arch 20-25, 2016, {S}hanghai, {C}hina }, address = {{S}hanghai, {CHINA}}, month = {03}, url = {} }
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