Frequency Domain Magnitude Banded LMS Algorithm for Equalization of Rapidly Time Variant Channels
نویسندگان
چکیده
Frequency domain adaptive filtering has become increasingly popular due to its computational efficiency and excellent adaptation behavior. This paper proposes a new frequency domain based magnitude banded least mean-square(FDMBLMS) algorithm for the purpose of equalization of a rapidly time-variant channel. FDMBLMS implements a non-linear adaptation procedure based on the magnitude level of the Fourier transform of the channel output. Computer simulation results obtained by using a second order Markov communication channel model shows that the proposed FDMBLMS algorithm provides a significant performance improvement compared to the standard frequency domain LMS as well as the existing time domain uniform amplitude banded LMS algorithms.
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