GFSK Demodulation Using Sequential Monte Carlo Technique

Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm

“…The outputs of the simulation, algorithm behaviour, and performance metrics underwent meticulous data analysis using Matlab/Simulink designed code and model Ref. [5] . This analysis provided valuable insights into the algorithm's dynamic response, accuracy, and efficiency across a spectrum of scenarios.…”

“…The simulation was conducted using Matlab/Simulink on a computer equipped with a Core i7 processor and the Win10 operating system. The methodology of the algorithm consisted of using recursive Bayesian, specifically, sequential Monte Carlo technique (SMC) to predict the next best duty cycle for the Boost converter to generate the maximum power point for each instance of time [5] . Furthermore, the system's effectiveness was confirmed through validation both under standard test conditions (STC) and varying weather conditions of irradiance, temperature, and partial shading (simple, moderate, severe, and dynamic shadings).…”

“…This section provides an overview of how the maximum power point (MPP) moves on the graph when the solar radiation and PV array's temperature increase or decrease. Figures [ [5] , [6] ] provide an overview explanation of the effect of varying solar radiations and temperature values on each PV array system. Array I-V and PV Characteristics while Varying Solar Radiation and Fixing the Temperature at (25 °C).…”

Complex Envelope Based Modems: A Tutorial

“…There are several GFSK demodulation structures and algorithms proposed in the literature; see for instance [31] and references therein. In the context of Bluetooth, most of then adopt non-coherent detection due to the need for low cost devices, for satisfactory performance with the frequency-hopping scheme, and to cope with different modulation indexes.…”

“…High performance penalties also may result if h is small, since this situation reduces the ability of discriminating the frequency shifts in the received signal. To improve performance, the phase-shift discriminator, or any other demodulation processes, often requires to be complemented with some sort of subsequent detection algorithm [31]. The optimum one, in the sense of minimizing the probability of deciding in favor of a wrong symbol sequence, is the maximum likelihood sequence detection (MLSD) [32].…”