Performance comparison of the semi-blind channel estimation methods of MIMO communication system

Author

Bhalani, J. ; Trivedi, A.I. ; Kosta, Y.P. ; Patel, V.T.

fYear

2009

fDate

3-5 Nov. 2009

Firstpage

1

Lastpage

5

Abstract

In this paper, we present semi-blind channel estimation (SBCE) methods using two deterministic blind algorithms: subspace (SS) approach and least-squares smoothing (LSS) approach. A cost function is design by combining conventional training based method with quadratic blind criterion. As optimization criterion, the channel normalized mean square error (NMSE) is chosen and compares the performance of semi-blind method using subspace and least squares smoothing criterion with the conventional training based method as a function of weighting factor (alpha).

Keywords

MIMO communication; channel estimation; deterministic algorithms; least mean squares methods; optimisation; channel normalized mean square error; combining conventional training based method; cost function; deterministic blind algorithms; least-squares smoothing approach; optimization criterion; quadratic blind criterion; semiblind channel estimation method; subspace approach; weighting factor function; Argon; Channel estimation; Cost function; MIMO; Neodymium; Receiving antennas; Smoothing methods; Stacking; Throughput; Transmitting antennas; Least-squares smoothing; MIMO; Semi-blind channel estimation; Subspace;

fLanguage

English

Publisher

ieee

Conference_Titel

Internet, 2009. AH-ICI 2009. First Asian Himalayas International Conference on

Conference_Location

Kathmandu

Print_ISBN

978-1-4244-4569-1

Electronic_ISBN

978-1-4244-4570-7

Type

conf

DOI

10.1109/AHICI.2009.5340305

Filename

5340305