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Software Defined Radio Architectures Systems And Functions

Sliding mode based adaptive linear neuron proportional resonant control of Vienna rectifier for performance improvement of electric vehicle charging system

This work is presenting under the title simulation model of single phase PWM inverter by using MATLAB/Simulink. There are many researchers’ works in this field with the different ways because it is important field and it has many applications. The converter DC power to AC power for any system that mean it need the power electronic device (inverter). The inverter is using when the source DC power and the load AC power. In this work, the simulation system includes the source 300V DC power, inverter, LC filter and load (R). The simulation result shows the waveform of all part in this system like input and output current and voltage.

https://ijpeds.iaescore.com/index.php/IJPEDS/article/download/20749/13340

Simulation model of single phase PWM inverter by using MATLAB/Simulink

Networked microgrids have many advantages for consumers and small energy producers, including higher reliability than non-networked microgrids. However, energy transaction, network interconnection, the intermittent nature of renewable sources, and other problems lead to challenges in the practical implementation of networked microgrids. Despite its favorable use of space, a floating PV system presents challenges that differ from those associated with its land-based counterparts because it is prone to the motion of the surface of the water, resulting in an unpredictable power output. This work presents a hierarchical energy management system (EMS) to address these issues. In level 1 of the EMS, which is for the overall management thereof, a blockchain model is used to manage transactions among microgrids. A grid synchronization algorithm is implemented in level 2 of the EMS, which manages the interconnection of microgrids. Level 2 is activated when an energy transaction between microgrids is needed. An on-line recurrent neural network (RNN)-based controller for an energy storage system (ESS), which is designed specifically to mitigate the problem caused by a floating PV platform, is deployed in level 3 as a local controller. The results of a hardware-in-the-loop (HIL) simulation demonstrate that the EMS can properly coordinate the levels in the hierarchical scheme to interconnect and provide power support between the microgrids. Real-time simulation results show that the ESS controller responds well, proving the viability of the hardware controller. According to these findings, the hierarchical EMS that is proposed in this work can solve the considered problems. 

Hierarchical Energy Management in Islanded Networked Microgrids

Nowadays, the demand for communication multi-carriers’ channels, where the sub-channels are made mutually independent by using orthogonal frequency division multiplexing (OFDM), is widespread both for wireless and wired communication systems. Even if OFDM is a spectrally efficient modulation scheme, due to the allowed number of subcarriers, high data rate, and good coverage, the transmitted signal can present high peak values in the time domain, due to inverse fast Fourier transform operations. This gives rise to high peak-to-average power ratio (PAPR) with respect to single carrier systems. These peaks can saturate the transmitting amplifiers, modifying the shape of the OFDM symbol and affecting its information content, and they give rise to electromagnetic compatibility issues for the surrounding electric devices. In this paper, a closed form PAPR reduction algorithm is proposed, which belongs to selected mapping (SLM) methods. These methods consist in shifting the phases of the components to minimize the amplitude of the peaks. The determination of the optimal set of phase shifts is a very complex problem; therefore, the SLM approaches proposed in literature all resort to iterative algorithms. Moreover, as this calculation must be performed online, both the computational cost and the effect on the bit rate (BR) cannot be established a priori. The proposed analytic algorithm finds the optimal phase shifts of an approximated formulation of the PAPR. Simulation results outperform unprocessed conventional OFDM transmission by several dBs. Moreover, the complementary cumulative distribution function (CCDF) shows that, in most of the packets, the proposed algorithm reduces the PAPR if compared with randomly selected phase shifts. For example, with a number of shifted phases U=8, the CCFD curves corresponding to the analytical and random methods intersect at a probability value equal to 10−2, which means that in 99% of cases the former method reduces the PAPR more than the latter one. This is also confirmed by the value of the gain, which, at the same number of shifted phases and at the probability value equal to 10−1, changes from 2.09 dB for the analytical to 1.68 dB for the random SLM.

/pdf/a-closed-form-selected-mapping-algorithm-for-papr-reduction-12oi5o43.pdf

A Closed Form Selected Mapping Algorithm for PAPR Reduction in OFDM Multicarrier Transmission

This paper introduced a “PID-NN” based on Particle Swarm Optimization control that was applied to a boost converter operating in large-signal domains. Simulation results have shown that the proposed “PID-NN controller” could enhance the (boost converter) startup response with the use of fewer on-off switch operations compared to the Conventional “PID controllers”. This result is of high importance in practice since reducing the number of on-off switches can effectively decrease the transient disturbances and losses due to switching. Simulations also prove that the proposed “PID-NN controller” is capable of efficiently improving rejecting potential disturbances that could happen in the input voltage. Moreover, it has been noticed that the output voltage is more efficiently controlled when applying “PID-NN controller”. The results of the simulation show the efficiency of the suggested algorithm compared with other well-known learning methods.

https://ijpeds.iaescore.com/index.php/IJPEDS/article/download/16302/12961

Intelligent control of DC-DC converter based on PID-neural network

The high peak-to-average power ratio (PAPR) of the transmit signal is a major shortcoming of OFDM systems, which results in band radiation and distortion due to the nonlinearity of the high-power amplifier (H.P). To resolve the traditional OFDM high-PAPR issue, where the transmit sequence is designed to avoid similar data from being sent in the same order to reduce PAPR, there are numerous conventional ways for lowering the PAPR for OFDM system, such as selective mapping, tone reservation, block coding, filtering, clipping, and partial transmit sequence (PTS). This study proposes a new method called polygon number algorithm (PN) with conventional partial transmit sequence (C-PTS). This method (PN-PTS) processes the entered data before sending it, taking advantage of the number nonsimilarity according to the geometry of the number to prevent direct sending of similar data via PTS, and thus, this improved the level of PAPR rise in the proposed system. The amount of reduction that can be achieved in PAPR is up to 8 dB by different techniques. The best result obtained was the amount of reduction between the conventional method and the proposed method is 4.5683 where . Besides this, there is no transmission of side information (SI), which improves transmission efficiency. Finally, this method is easy in the calculation process and the ciphering and deciphering of data, which adds a few calculations.

/pdf/polygon-number-algorithm-for-peak-to-average-ratio-reduction-3zb3vkm44z.pdf

Polygon Number Algorithm for Peak-to-Average Ratio Reduction of Massive 5G Systems Using Modified Partial Transmit Sequence Scheme

Software Defined Radio (SDR) has the flexibility to modify the characteristics of the receiving and transmitting radio device, without physically adjusting the hardware, due to development in the system Because of the increasing need for wireless communication applications so as to enable consumers to communicate anywhere through information led to the emergence of many communication devices to include the large amount of applications that every one of the devices needs power and thereby increase the total power This study confirms that the wireless communication system for secured transmit data, fast and inexpensive; can be done by implementing using Partial Reconfiguration (PR) modern technology in FPGA developing based on SDR The Speed and performance can be improved The area also can be decreased The new Xilinx, Vertex Series FPGA, provides the provision of PR The power consumption can be reduced by applying power reduction techniques in the blocks The combination of MATLAB (Simulink and M-file) and Simulink HDL Coder offers flexible capabilities for analysis, design; simulation, implementation, and verification With all these capabilities, in a single system to reduce the time spent tuning for reducing the algorithms and models during rapid prototyping and experimentation and less time on HDL coding

FPGA Implementation of MC-CDMA Wireless Communication System Based on SDR-A Review

Malware is the primary attack vector against the modern enterprise. Therefore, it is crucial for businesses to exclude malware from their computer systems. The most responsive solution to this issue would operate in real time at the edge of the IT system using artificial intelligence. However, a lightweight solution is crucial at the edge because these options are restricted by the lack of available memory and processing power. The best contender to offer such a solution is application programming interface (API) calls. However, creating API call characteristics that offer a high malware detection rate with quick execution is a significant challenge. This work uses visualisation analysis and Jaccard similarity to uncover the hidden patterns produced by different API calls in order to accomplish this goal. This study also compared neural networks which use long sequences of API calls with shallow machine learning classifiers. Three classifiers are used: support vector machine (SVM), k-nearest neighbourhood (KNN), and random forest (RF). The benchmark data set comprises 43,876 examples of API call sequences, divided into two categories: malware and legitimate. The results showed that RF performed similarly to long short-term memory (LSTM) and deep graph convolutional neural networks (DGCNNs). They also suggest the potential for performing inference on edge devices in a real-time setting.

/pdf/features-engineering-to-differentiate-between-malware-and-1jjudoy4.pdf

Features Engineering to Differentiate between Malware and Legitimate Software

Orthogonal frequency division multiplexing (OFDM), Multi-Carrier (MC) system, is a popular standard in wireless communication for its enabling high throughput data transfer However, the MC signal usually has a high peak-to-average power ratio (PAPR), which involves a wide-dynamic-range, power consuming amplifier Whenever the signal height is greater than the amplified linear region, the signal is distorted In this paper, propose a novel scheme that rotating phase shift (RPS) technique based signal scrambling is proposed to reduce PAPR in OFDM systems In addition, the pilot phase signal is picked out by RPS technique applied new algorithm the local research to alleviate scrambling information corruption and show discernible advancements So, our technique improves over the existing ones in the same category The transmitted signal of OFDM is tested with Mobile WiMAX IEEE 80216e standard, that compared the various phase shift with a slight computational complexity is studied The simulation result shows that original signal at pilot-assisted QAM is capable of bringing down the electrical PAPR by about 35 times as a modest complementary cumulative distribution function (CCDF) point of 10-3 for M=8 low complexity In addition, the best phase-shift factor was selected to reduce the monetary value of computational complexity

PAPR Reduction Using Eight Factors Rotating Phase Shift Technique Based on Local Search Algorithm in OFDM

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