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Title |
A Nonlinear Signal Processing Method for Diversity Combining Using Hammerstein Type Filter |
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Author |
Amir Masoud Aminian-Modarres, Mohammad Molavi-kakhki |
| Citation |
Vol. 9 No. 1 pp. 399-407 |
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Abstract |
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. |
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Keywords |
Nonlinear signal processing, Hammerstein filter, Wireless communication systems, Diversity combining, Nonlinear equalization |
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