Comparison of RLS, LMS and SMI Algorithms for Smart Antennas
The combination of the array along with the elements of antenna and the algorithm that processes the dedicated signal is known as Smart Antenna. By using this technology, the base station transmits the signal of each user and receives only that in the individual user direction. The technology of Sma...
Saved in:
| Published in | 2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA) pp. 599 - 602 |
|---|---|
| Main Authors | , , , , , |
| Format | Conference Proceeding |
| Language | English |
| Published |
IEEE
02.12.2021
|
| Subjects | |
| Online Access | Get full text |
| DOI | 10.1109/ICECA52323.2021.9676047 |
Cover
| Summary: | The combination of the array along with the elements of antenna and the algorithm that processes the dedicated signal is known as Smart Antenna. By using this technology, the base station transmits the signal of each user and receives only that in the individual user direction. The technology of Smart Antenna which attempts to inform the problem by using the advanced technology of signal processing is called as beam-forming. Through the beam-forming which is adapti ve, the narrower beam is formed by the base station and nulls towards the users and interfering users. The diverse types of the adaptive algorithms are used to inform the smart antenna weights. Various algorithms of adaptive beamforming used in the current study are Recursive Least squares (RLS), Lease Mean square (LMS) and sample Matrix Inversion (SMI) algorithms. |
|---|---|
| DOI: | 10.1109/ICECA52323.2021.9676047 |