Properties of matrix polynomials and MIMO channel identifiabilityfrom second order statistics
Ding, Z.; Li Qiu
Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
Volume 5, Issue , 2000 Page(s):4302 - 4307 vol.5
Digital Object Identifier   10.1109/CDC.2001.914578
Summary:Blind channel identification and equalization have attracted much attention recently. Their potential application in wireless communication systems has been explored. For multiple user systems, several algorithms known to date require the assumption that the linear system has a full rank convolution matrix. In fact, this assumption requires that the system be irreducible and column reduced. In this paper, we show that some of these algorithms can remain effective even when the rank condition is related. Several algorithms, including the outer-product decomposition, can still be applied with care for irreducible (but not column reduced) MIMO linear systems

» View citation and abstract

Log in by entering your IEEE Web Account Username and Password.

IEEE Communications Society members: If you subscribe to the IEEE Electronic Periodicals Package or IEEE Electronic Periodicals Package Plus, you must access your subscription at www.comsoc.org.

Check with your librarian, information professional, or system manager to determine if you need to log in. Please complete the online Technical Support Form if you need assistance.

Select the Purchase History link to access the document. You will have 5 Days after purchase to access the Full Text PDF. Please complete the online Technical Support Form if you need assistance.

• Search and access Abstract records free of charge
• Register for table of contents alerts
• Purchase Full Text PDF documents

» Learn more about subscription options or how to become an IEEE Member.