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A novel nonlinear geometric feature equalizer based on minimum bit error rate is proposed in this paper for the filtering
of noise and interference whose frequency band overlaps with the desired signal in extended binary phase shifting keying
communications. Considering that the desired signal and the interference have different stochastic characters in feature
space, the proposed equalization algorithm recovers the desired signal by neural network. Simulation results show that
when extended binary phase shifting keying signals are contaminated by relatively strong interference, geometric feature
equalizers can provide very low bit error rate. This will provide an alternate filter used for extended binary phase shifting
keying communications and also for deep-space communications etc.
Renxiang Zhu andLenan Wu
"Nonlinear geometric feature equalizers based on minimum bit error rate criterion for EBPSK communications", Proc. SPIE 6795, Second International Conference on Space Information Technology, 67951D (10 November 2007); https://doi.org/10.1117/12.773760
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Renxiang Zhu, Lenan Wu, "Nonlinear geometric feature equalizers based on minimum bit error rate criterion for EBPSK communications," Proc. SPIE 6795, Second International Conference on Space Information Technology, 67951D (10 November 2007); https://doi.org/10.1117/12.773760