Adaptive beamforming algorithm based on Simulated Kalman Filter
Adaptive beamforming is a technique used to steer the radiation pattern towards the desired signal and cancel out any interference signal by finding the appropriate weights for every element in an array antenna, to achieve maximum signal to interference plus noise ratio (SINR). There are many method...
Saved in:
Main Author: | Kelvin Lazarus, Lazarus |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2017
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/23409/1/Adaptive%20beamforming%20algorithm%20based%20on%20Simulated%20Kalman%20Filter.wm.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Opposition- based simulated kalman filters and their application in system identification
by: Kamil Zakwan, Mohd Azmi
Published: (2017) -
Simulated kalman filter (SKF) based image template matching for distance measurement by using stereo vision system
by: Nurnajmin Qasrina Ann, Ayop Azmi
Published: (2018) -
Kalman filter based impedance parameter estimation for transmission line and distribution line
by: Siti Nur Aishah, Mohd Amin
Published: (2019) -
Position tracking of underwater vehicle using extended Kalman Filter
by: Sirkunan, Navein
Published: (2022) -
SNR estimation using extended kalman filter technique for orthogonal frequency division multiplexing (OFDM) system
by: Ong, Sylvia Ai Ling
Published: (2012)