Decision feedback equalization for indoor visual light communication

초록

In integrated systems of indoor visual light communication and power line communication technology, interference including multipath effect, DC bias and impulsive noise is a crucial obstacle to be coped with. In this paper, a recursive equalizer algorithm that can reduce the high computational complexity of blind decision feedback equalizer algorithms in order for advantages in implementation, and for the robustness against interference. The summation operation in the calculation of gradient of the cost function of the lagged cross-correlation of probability (LCCP) algorithm is transformed into a recursive gradient calculation. The proposed method reduces the computational burden of O(N) to O(1), which is independent of the data block size N. From the results of the simulation, the proposed method yielded the superior learning performance with reduced computation complexity.

키워드