Blind Equalization Using Correntropy Algorithm for Wireless Sensor Networks
Keywords:
Complexity, correntropy, impulsive noise, sensor network.Abstract
Wireless links in indoor sensor networks have
distortions due to multipath fading from reflections and
impulsive noise from indoor electric devices. In these harsh
environments, blind correntropy equalization algorithm yields
superior MSE performance compared with the constant
modulus algorithm. However the correntropy algorithm has a
heavy computational complexity, which is not suitable for
power and cost effectiveness demanded in wireless sensor
networks. In this paper, a new gradient estimation for weight
updates of the correntropy algorithm in order to reduce its
computational burden is proposed. For the size of the data
block, N-M+1 including the number of lags M, the conventional
correntropy algorithm requires (N+1)M (M+1)M/2
multiplications, whereas the proposed method of recursively
estimating the gradient does only M 2 . The simulation results
show that the conventional and proposed gradient estimation
methods yield exactly the same estimation traces proving
justification of the proposed estimation. These results indicate
that the proposed method can be implemented in reliable and
efficient indoor sensor networks.
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