Blind IR Channel Equalization Based on Second-Order Statistics

Author

Chen, Fangjiong ; Kwong, Sam ; Nie, Wenfei ; Wei, Gang ; Ji, Fei

Author_Institution

Sch. of Electron. & Inf., South China Univ. of Technol., Guangzhou

Volume

5

fYear

2006

fDate

7-10 May 2006

Firstpage

2334

Lastpage

2338

Abstract

Direct blind equalization of single-input-single-output (SISO) infinite-impulse-response (IIR) channels is investigated by oversampling the channel output. Only second-order statistics is required and the channel order need not to be known. We first transform the oversampled channel into a special single-input-multiple-output (SIMO) model. Then a linear prediction approach is applied to partially estimate the model parameters. Based on the estimated parameters, zero-forcing equalizers and MMSE equalizers are developed and their efficiency are evaluated by computer simulations

Keywords

blind equalisers; least mean squares methods; statistics; telecommunication channels; MMSE equalizers; SIMO model; SISO channels; blind IIR channel equalization; direct blind equalization; linear prediction approach; minimum mean square error; second-order statistics; single-input-multiple-output model; single-input-single-output infinite-impulse-response channels; zero-forcing equalizers; Additive noise; Blind equalizers; Computer simulation; Finite impulse response filter; Intersymbol interference; Parameter estimation; Predictive models; Sampling methods; Sensor arrays; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference, 2006. VTC 2006-Spring. IEEE 63rd

Conference_Location

Melbourne, Vic.

ISSN

1550-2252

Print_ISBN

0-7803-9391-0

Electronic_ISBN

1550-2252

Type

conf

DOI

10.1109/VETECS.2006.1683274

Filename

1683274