Low-complexity spatial channel estimation and hybrid beamforming for millimeter wave links

TitleLow-complexity spatial channel estimation and hybrid beamforming for millimeter wave links
Publication TypeConference Paper
Year of Publication2016
AuthorsChiang H-L, Kadur T, Rave W, Fettweis G
Published in2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)
Date Published09/2016
Keywordsarray signal processing, channel estimation, compressed sensing literature, Couplings, estimated channel matrix, HBF architecture, high dimensional singular value decomposition, hybrid beamforming architecture, matrix algebra, microwave links, millimeter wave systems, millimetre wave propagation, mmW systems, Noise measurement, Radio frequency, Radio transmitters, Receivers, selected array propagation vectors, singular value decomposition, spatial channel properties, SVD

Efficiently estimating spatial channel properties, such as angles of arrival and departure, for a hybrid beamforming (HBF) architecture is one of the crucial challenges to overcome at millimeter wave (mmW) systems. To this end, we propose an algorithm variant to a recently proposed approach [8] based on ideas borrowed from the compressed sensing literature and /0-norm minimization, which exploit the fact that the number of significant channel echoes is rather small for limited beamwidth. Our modified algorithm eliminates high dimensional singular value decomposition (SVD) of the estimated channel matrix in the original method by employing the orthogonality between the selected array propagation vectors. It is demonstrated that HBF design without SVD of the estimated channel matrix can achieve essentially the same capacity as the one with SVD. Moreover, the feedback overhead required for the beamforming systems can be significantly reduced by the proposed method.


The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement n°619563 (MiWaveS).

ICSI Research Group

Research Initiatives