Blind channel identification based on cyclic statistics

Deneire, Luc;Slock, Dirk T M
IEE Proceedings Radar, Sonar and Navigation, Special issue on antenna array processing techniques, Volume 145, N°1, February 1998

Use of cyclic statistics in fractionally sampled channels in subspace fitting and linear prediction for channel identification is proposed, possibly for multiuser and multiple antennas. Identification schemes are based on cyclic statistics using the stationary multivariate representation, leading to the use of all cyclic statistics. Compared with classical approaches, the methods proposed have an equivalent performance for subspace fitting, and an enhanced performance for linear prediction.


DOI
HAL
Type:
Journal
Date:
1998-02-01
Department:
Systèmes de Communication
Eurecom Ref:
46
Copyright:
© IEE or IET. Personal use of this material is permitted. The definitive version of this paper was published in IEE Proceedings Radar, Sonar and Navigation, Special issue on antenna array processing techniques, Volume 145, N°1, February 1998 and is available at : http://dx.doi.org/10.1049/ip-rsn:19981808

PERMALINK : https://www.eurecom.fr/publication/46