IJCSNS International Journal of Computer Science and Network Security, VOL.9 No.1, January 2009
A Nonlinear Signal Processing Method for Diversity Combining
Using Hammerstein Type Filter
Amir Masoud Aminian-Modarres†, †† and Mohammad Molavi-kakhki†,
Department of Electrical Engineering, Ferdowsi University of Mashhad, P.O. Box 91775-1111, Mashhad, Iran.
Sadjad Institute of Higher Education, Mashhad, Iran
Wireless communication systems suffer from the destructive
effects of channel fading. In this paper we propose a nonlinear
signal processing method for diversity combining based on a
Hammerstein type filter to mitigate the fading effects. In the
present work, frequency selective Rayleigh fading channels in
presence of additive white gaussian noise (AWGN) are
considered and BPSK modulation is employed. Comparison of
simulation results based on our proposed technique with the
results obtained when linear equalizing filters are employed,
shows that our technique leads to a considerably better BER
performance at higher SNRs. We also show that our method has
a lower complexity than the linear structure. Especially, we do
not use any memory in our system that is a valuable advantage
in many practical applications.
Nonlinear signal processing, Hammerstein filter, Wireless
communication systems, Diversity combining, Nonlinear
In wireless communication networks, fading phenomenon
imposes serious limitations upon the system performance.
Diversity techniques as means of achieving high capacity
communication systems and combating fading effects have
been the subject of interest for many years , . Space,
frequency, time and coding diversities, and also the
combination of two or more of these, have been investigated
by many authors and used in different systems.
At the receiver, the multiple received signals are combined.