Implementation of Hybrid Precoding for MIMO System Using Kalman Approach

Abstract

Multiple antenna system in communication is a main role to serve a multiple users at a time simultaneously in future wireless communication system. The MIMO specifically refers to practical method for sending and receiving the data more than one signal at a time over the same radio frequency channel by exploring the multipath propagation. MIMO is fundamentally a special form smart antenna system modified to enhance the performance of a data signal, such as Beamforming / Precoding and diversity. In millimeter wave 60 GHz band requires a large no of antenna arrays at two sides of transmitter and receiver terminals to beam forming gains, in a way to counteract the high path loss. There are many Precoding methods existing, like Zero Forcing (ZF) method, Branch and Bound (B&B) method and Hybrid method. In the form of fully digital method it’s not possible to do with more no of antenna arrays due to hardware complexity at such ranges, while coming to purely analog also suffers the bad performance circumstances. Hence we propose a Hybrid Precoding method in Digital/Analog in the multi user scenario based on the Kalman approach. To mainly reduce the errors between transmitted data to estimated data. Simulation results validates that immense improvement and better performance is achieved compared to existing precoding methods in terms of BER and spectral efficiency.