A Novel Adaptive Beam forming RLMS Algorithm for Smart Antenna System

Abstract

The smart antenna is a technology and has been applied to the cellular and mobile communication system. It is a combination of multiple antenna elements with a signal processing capability to optimize its radiation and/or reception pattern automatically change in response to the signal environment. The core of smart antenna is the selection of smart algorithms in adaptive array. In this paper, RLMS based adaptive beam forming algorithm is used to improve the performance of the cellular and mobile communication system. Using adaptive beam forming algorithm, the weights/coefficients of antenna arrays are adjusted to form adaptive beam with the required characteristics to track corresponding users automatically and at the same time to minimize interference arising from other users by introducing nulls in their directions. Recursive Least Mean Square (RLMS) algorithm provides a comprehensive and detailed treatment of the signal model used for beam forming. The performance of the RLMS algorithm in the presence of Multi-path effects and multiple users is analyzed using Software simulations. In the proposed method, mean square error is reduced and Convergence is improved in compared with LMS algorithm based method.

Adaptive Beamforming for mmWave 5G MIMO Antennas

“…Consider a uniform linear array (ULA) composing of Melements, the number of narrowband plane waves represented by L, centred at centre frequency fo which impinges on the ULA from directions (𝜃 1 , 𝜃 2 , … … … . , 𝜃 𝑙 ) At the mth element, the signal received using complex signal representation can be written as [5]:…”