Title :
Blind equalization of sparse channels using antennas diversity
Author :
Leshem, Amir ; van der Veen, Alle-Jan
Author_Institution :
Dept. of Electr. Eng., Delft Univ. of Technol., Delft, Netherlands
Abstract :
In this paper we consider the blind identifiability of multichannel systems when we know a-priori a bound on the number of non-zero coefficients in each channel. This is interesting for specular multi-path channels. We show that in this case, previously derived identifiability conditions are too strong. We demonstrate how to use the a-priori knowledge to weaken these conditions. We also propose a method to estimate the channel responses as well as the signals. Our method is based on a frequency domainLS estimation of the channel parameters combined with conditional MLE for the signals.
Keywords :
blind equalisers; multipath channels; radio networks; MLE; antennas diversity; blind equalization; blind identifiability; channel parameters; frequency domain LS estimation; identifiability conditions; multichannel systems; nonzero coefficients; sparse channels; specular multipath channels; Arrays; Channel estimation; Delays; Diversity reception; Frequency-domain analysis; Maximum likelihood estimation; Blind channel identification; diversity combining; equalization;
Conference_Titel :
Signal Processing Conference, 2000 10th European
Print_ISBN :
978-952-1504-43-3