Performance Analysis of ZF and MMSE channel equalizer for Butterworth and Chebyshev Low Pass Channels
Saurabh Shah1, Jaymin Bhalani2

1Prof. Saurabh Shah, PhD Scholar, C U Shah University and EC Department, Babaria Institute of Technology, Vadodara, Gujarat, India.
2Dr. Jaymin Bhalani, EC Department, Babaria Institute of Technology, Vadodara, Gujarat, India.

Manuscript received on February 06, 2020. | Revised Manuscript received on February 10, 2020. | Manuscript published on February 30, 2020. | PP: 1115-1121 | Volume-9 Issue-3, February, 2020. | Retrieval Number:  B4237129219/2020©BEIESP | DOI: 10.35940/ijeat. B4237.129320
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (

Abstract: Due to the high demand for information in the communication system needs a greater amount of data transmission on the current channels. The data flow rate on the existing channel is bounded because of the Inter Symbol Interference (ISI). To minimize the influence of ISI Channel equalizers are utilized. The Zero Forcing (ZF) & Minimum Mean Square Error (MMSE) equalizer is used to compare the eye diagrams before and after the equalizer in this paper. It shows that the equalizer reduce the ISI effectively and achieves the suitable performance.
Keywords: Channel Equalization, Eye Diagram, ISI, ZF & MMSE Equalizer.