Improved least mean square algorithm for 5G signals in microwave-photonic link

Abstract

For the use in 5G system, common public radio interface (CPRI) is implemented for increasing the transmission capacity of conventional MFN and it exceeds hundreds of Gpbs. In this work, we proposed an improvedLMSand compared it with the existingequalizers. Due to the complex nature of nonlinear effects, the nonlinearity of a signal is designed by the second order Volterra model consisting of linear and nonlinear part. By using improved LMS and Blind equalizer, the bit-error rate (BER) of the nonlinear system is diminished to a great extent. The results shows that the proposed Least mean square (LMS) and blind equalizers with constraint can decrease the inter-symbol interference (ISI) that causes nonlinearity and also helps to improve performance characteristics.