TY - GEN
T1 - Estimation of Angular Power Spectrum Using Multikernel Adaptive Filtering
AU - Ninomiya, Eiji
AU - Yukawa, Masahiro
AU - Renato, Renato L.
AU - Miretti, Lorenzo
N1 - Funding Information:
E. Ninomiya and M. Yukawa were supported by JST SICORP Grant Number JPMJSC20C6, Japan. R. L. G. Cavalcante and L. Miretti acknowledge the financial support of the Federal Ministry of Education and Research of Germany (BMBF) under grant 01DR21009.
Publisher Copyright:
© 2022 Asia-Pacific of Signal and Information Processing Association (APSIPA).
PY - 2022
Y1 - 2022
N2 - This paper addresses the problem of estimating the angular power spectrum (APS) of massive multiple input multiple output wireless channels. Estimating the APS is useful, for instance, for simplifying the downlink channel estimation problem in frequency division duplex systems. We propose an efficient online algorithm that estimates the APS from the channel spatial covariance matrix. The proposed algorithm approximates the APS as a sum of Gaussian functions and leverages the framework of multikernel adaptive filtering.
AB - This paper addresses the problem of estimating the angular power spectrum (APS) of massive multiple input multiple output wireless channels. Estimating the APS is useful, for instance, for simplifying the downlink channel estimation problem in frequency division duplex systems. We propose an efficient online algorithm that estimates the APS from the channel spatial covariance matrix. The proposed algorithm approximates the APS as a sum of Gaussian functions and leverages the framework of multikernel adaptive filtering.
KW - angular power spectrum
KW - covariance matrix
KW - Massive MIMO
KW - multikernel adaptive filtering
UR - http://www.scopus.com/inward/record.url?scp=85146273056&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85146273056&partnerID=8YFLogxK
U2 - 10.23919/APSIPAASC55919.2022.9980067
DO - 10.23919/APSIPAASC55919.2022.9980067
M3 - Conference contribution
AN - SCOPUS:85146273056
T3 - Proceedings of 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022
SP - 1996
EP - 2000
BT - Proceedings of 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022
Y2 - 7 November 2022 through 10 November 2022
ER -