Adaptive algorithms in smart antenna beamformation for wireless communication

Title

Adaptive algorithms in smart antenna beamformation for wireless communication

Creator

Supriya R.; Shashi Kumar D.

Description

The challenges for today's wireless communication technology are increased data rates, channel capacity and spectrum efficiency with reduced interference. The adaptive antenna array is capable of adapting to the varying signal environments automatically and forms beams in the directions of the desired signals by steering nulls in the directions of interfering signals. Therefore smart antenna is the best solution to overcome the above mentioned challenges. Smart antennas uses advanced digital signal processing algorithms to enhance the detection of desired users in an interfering environment through spatial filtering. In this paper we will discuss the influence of Least Mean Squares (LMS), Recursive Least Squares (RLS) and Normalized Least Mean Square (NLMS) algorithms in adaptive beamforming. The simulations used for the study are carried out using MATLAB R2013a. 2016 IEEE.

Source

International Conference on Communication and Signal Processing, ICCSP 2016, pp. 1850-1853.

Date

2016-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Adaptive Algorithm; Beamforming; LMS; NLMS; RLS; Smart Antenna

Coverage

Supriya R., Christ University, Bangalore, Karnataka, India; Shashi Kumar D., Department of Electronics and Communication Engineering, Christ University, Bangalore, Karnataka, India

Rights

Restricted Access

Relation

ISBN: 978-150900396-9

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/ICCSP.2016.7754490

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