Results 11 to 20 of about 20,755 (208)

Enhanced Lithium‐Ion Battery Parameter Estimation and SOC Prediction via Variable Forgetting Factor Bi‐Loop Recursive Least Squares

Energy Science & Engineering
The reliability of parameter accuracy in lithium‐ion battery models plays a crucial role in the efficiency of state‐of‐charge (SOC) estimation methods that employ model‐based strategies.
Wei Xia, Jinli Xu, Baolei Liu, Huiyun Duan   +3 more
doaj   +2 more sources

Revisiting smart antenna array design with multiple interferers using basic adaptive beamforming algorithms: Comparative performance study with testbed results

Engineering Reports, 2021
Smart antennas are becoming popular in the area of cellular wireless communication for capacity enhancement and reduction of the multipath effect and interference. The demand for smart antennas is widely increasing as 5G cellular communication evolves to
SK Imtiaj, Iti Saha Misra, Sandipan Bhattacharya   +2 more
doaj   +1 more source

Adaptive filtering-based current reconstruction in non-contact magnetic sensor array measurement system [PDF]

Metrology and Measurement Systems, 2019
The non-contact current measurement method with magnetic sensors has become a subject of research. Unfortunately, magnetic sensors fail to distinguish the interested magnetic field from nearby interference and suffer from gauss white noise due to the ...
Yafeng Chen, Qi Huang
doaj   +1 more source

Parameter identification of a lithium‐ion battery based on the improved recursive least square algorithm

IET Power Electronics, 2020
Accurate parameter identification of a lithium-ion battery is a critical basis in the battery management systems. Based on the analysis of the second-order RC equivalent circuit model, the parameter identification process using the recursive least ...
Biying Ren, Chenxue Xie, Xiangdong Sun, Qi Zhang, Dan Yan   +4 more
semanticscholar   +1 more source

Comparison between Epsilon Normalized Least Means Square (ϵ-NLMS) and Recursive Least Squares (RLS) Adaptive Algorithms

2018 International Conference on Computing Sciences and Engineering (ICCSE), 2018
There is an evidence that channel estimation in communication systems plays a crucial issue in recovering the transmitted data. In recent years, there has been an increasing interest to solve problems due to channel estimation and equalization especially when the channel impulse response is fast time varying Rician fading distribution that means ...
Ali Salah Mahdi, Lwaa Faisal Abdulameer, Ameer Hussein Morad   +2 more
openaire   +3 more sources

Investigation of Phase Noise on the Performance of LMS-RLS Adaptive Equalizer

Diyala Journal of Engineering Sciences, 2013
This paper investigates the effect of phase noise on equalization of  communication channels using least mean square (LMS) and recursive least square (RLS) adaptive algorithms.
Radhi Shabib Kaned
doaj   +1 more source

Performance analysis of adaptive algorithms for space-time adaptive processor (STAP) in phased array radar

The Journal of Engineering, 2019
The most challenging task in phased array radar system is the mitigation or suppression of noise and interferences to enhance the useful signal in radar received signals.
Raafia Irfan, Haroon ur Rasheed, Waqas A Toor, Muhammad Ashraf   +3 more
doaj   +1 more source

SDR Proof-of-Concept of Full-Duplex Jamming for Enhanced Physical Layer Security

Sensors, 2021
In order to secure wireless communications, we consider the usage of physical-layer security (PLS) mechanisms (i.e., coding for secrecy mechanisms) combined with self-interference generation.
André Silva, Marco Gomes, João P. Vilela, Willie K. Harrison   +3 more
doaj   +1 more source

Adaptive feedback feedforward compensation for disturbance rejection in a one DOF flexible structure: comparative analysis

Revista UIS Ingenierías, 2018
In this paper an Active Vibrational Control (AVC) for a three-cart problem is studied. The Filtered-x Least Mean Square (FxLMS) and Recursive Least Square (RLS) algorithms are compared in terms of disturbance rejection, computational cost and control ...
Efrain Guilermo Mariotte Parra, Jabid Eduardo Quiroga Méndez   +1 more
doaj   +1 more source

Cosine function variable step-size transform domain least mean square algorithm based on matrix rotation

AIP Advances, 2023
A novel cosine function variable step-size transform domain least mean square (LMS) algorithm based on matrix rotation (COS-ROTDCT-LMS-DFE) was put forward.
Xiaoling Ning, Keyi Zhang, Lei Zhu
doaj   +1 more source