G e s t i o n-R e s s o u r c e s ● 7 3 7 3 , L a j e u n e s s e , B u r e a u 1 0 0 ● M o n t r é a l , Q u é b e c H 2 R 2 H 7 ● C a n a d a 1 8 7 7 2 8 8-7 4 4 8 ● c o n t a c t @ g e s t i o n-r e s s o u r c e s. c o m ● w w w. g e... more
G e s t i o n-R e s s o u r c e s ● 7 3 7 3 , L a j e u n e s s e , B u r e a u 1 0 0 ● M o n t r é a l , Q u é b e c H 2 R 2 H 7 ● C a n a d a 1 8 7 7 2 8 8-7 4 4 8 ● c o n t a c t @ g e s t i o n-r e s s o u r c e s. c o m ● w w w. g e s t i o n-r e s s o u r c e s. c o m v.7.0
The modern telecommunication systems require very high transmission rates, in this context, the problem of channels identification is a challenge major. The use of blind techniques is a great interest to have the best compromise between a... more
The modern telecommunication systems require very high transmission rates, in this context, the problem of channels identification is a challenge major. The use of blind techniques is a great interest to have the best compromise between a suitable bit rate and quality of the information retrieved. In this paper, we are interested to learn the algorithms for blind channel identification. We propose a hybrid method that performs a trade-off between two existing methods in order to improve the channel estimation.