Blind ISI mitigation

Author

Mostofi, Yasamin ; Cox, Donald C.

Author_Institution

Stanford Univ., CA, USA

Volume

3

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

1903

Abstract

In an outdoor communication environment, a percentage of bandwidth is wasted sending a training sequence for channel estimation and equalization. For instance in GSM, 17.93% of bandwidth is dedicated to the transmission of such a known sequence. Therefore, if a blind algorithm, using only the knowledge of input constellation and/or correlation, can achieve an acceptable performance, it will save bandwidth considerably. If the receiver does not have this information, blind adaptation would not be feasible with reasonable complexity. We present a robust blind adaptation structure for TDMA-based communication systems. Also, we include implementation issues such as differential coding and oversampling in our system modeling

Keywords

adaptive equalisers; adaptive estimation; blind equalisers; decision feedback equalisers; interference suppression; intersymbol interference; parameter estimation; radio links; time division multiple access; DFE; GSM; TDMA; bandwidth wastage; blind ISI mitigation; channel equalization; channel estimation; decision feedback; differential coding; input constellation; input correlation; intersymbol interference; oversampling; training sequence; Bandwidth; Blind equalizers; Channel estimation; Decision feedback equalizers; Delay effects; GSM; Intersymbol interference; Modeling; Pulse shaping methods; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference, 2001. VTC 2001 Fall. IEEE VTS 54th

Conference_Location

Atlantic City, NJ

ISSN

1090-3038

Print_ISBN

0-7803-7005-8

Type

conf

DOI

10.1109/VTC.2001.956532

Filename

956532