Title :
Receiver diversity with blind fir SIMO channel estimates
Author :
Omar, Samir-Mohamad ; Slock, Dirk ; Bazzi, Oussama
Author_Institution :
Mobile Commun. Dept., Eurecom, Sophia Antipolis, France
Abstract :
Traditionally, the performance of blind SIMO channel estimates has been characterized in a deterministic fashion, by identifying those channel realizations that are not blindly identifiable. In this paper, we focus instead on the performance of Linear Equalizers for fading channels when they are based on blind channel estimates. Our analysis shows that with Zero Forcing Linear Equalizer (ZF-LE) at least one order of the diversity is lost depending on the way by which the scalar ambiguity that results from the blind channel estimation is resolved. However, in some Tx scenarios we are able to recover the diversity with MMSE-LE. Various Tx scenarios are considered in detail.
Keywords :
blind equalisers; channel estimation; least mean squares methods; receivers; blind FIR SIMO channel estimates; fading channels; linear equalizers; receiver diversity; single input multiple output channel; zero forcing linear equalizer; Bit error rate; Channel estimation; Delay; Diversity reception; Equalizers; Fading; Finite impulse response filter; OFDM; Signal to noise ratio; Transfer functions; blind; channel estimation; receiver diversity;
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2010.5495982
