Performance Improvement of Neural Network Based RLS Channel Estimators in MIMO-OFDM Systems
The objective of this study was tointroduce a recursive least squares (RLS) parameter estimatorenhanced by using a neural network (NN) to facilitate the computing of a bit error rate (BER) (error reduction) during channels estimation of a multiple input-multiple output orthogonal frequency division...
Guardado en:
Autor principal: | Alaa Abdulameer Hassan |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Al-Khwarizmi College of Engineering – University of Baghdad
2011
|
Materias: | |
Acceso en línea: | https://doaj.org/article/276e47a09e8a42a9976269efc6e4ecc4 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Performance Improvement of Neural Network Based RLS Channel Estimators in MIMO-OFDM Systems
por: Alaa Abdulameer Hassan
Publicado: (2011) -
Performance Improvement of Neural Network Based RLS Channel Estimators in MIMO-OFDM Systems
por: Alaa Abdulameer Hassan
Publicado: (2011) -
A Comparison Between Recursive Least-Squares (RLS) and Extended Recursive Least-Squares (E-RLS) for Tracking Multiple Fast Time Variation Rayleigh Fading Channel
por: Ali Salah Mahdi
Publicado: (2017) -
A New Efficient Two-Sided Complementary Code Based Channel Estimation Technique “TSCC-CE” for MIMO-OFDM Systems, Under the Effects of Partial-Band Jamming and Doppler Spread
por: Said E. El-Khamy, et al.
Publicado: (2021) -
Maximum Likelihood Localization Method With MIMO-OFDM Transmission
por: Wan Amirul Mahyiddin, et al.
Publicado: (2021)