Analysis of Channel Transmission Performance in UHF RFID System

2014 ◽  
Vol 1049-1050 ◽  
pp. 1876-1879
Author(s):  
Zhi Jia Lu ◽  
Zhen Yong Liu ◽  
Wan Qiang Han ◽  
Yu Jian Li
Keyword(s):  
Optimal Parameter ◽  
Signal To Noise Ratio ◽  
Additive White Gaussian Noise ◽  
Simulation Models ◽  
Uhf Rfid ◽  
Transmission Performance ◽  
Modulation And Demodulation ◽  
Symmetric Channel ◽  
Rfid System ◽  
The Relationship

This paper analyzes the characteristics of four kinds of possible channels in UHF RFID communication system, and makes a deep analysis on additive white Gaussian noise channel and binary symmetric channel. At the same time, it sets up the ASK modulation and demodulation simulation models of those two kinds of channels, summarizing the relationship between the bit error rate and the variety of signal to noise ratio of those two kinds of system. Finally, it concludes the optimal parameter of transmission process in the RFID system in experiments.

scholarly journals Experimental Evaluation of the Packet Reception Performance of LoRa

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1071
Author(s):  
Qingjie Guo ◽  
Fengxu Yang ◽  
Jianming Wei
Keyword(s):  
Energy Consumption ◽  
Optimal Parameter ◽  
Signal To Noise Ratio ◽  
Physical Layer ◽  
Transmission Scheme ◽  
Communication Time ◽  
Parameter Configuration ◽  
Packet Length ◽  
The Impact ◽  
The Relationship

LoRa technology is currently one of the most popular Internet of Things (IoT) technologies. A substantial number of LoRa devices have been applied in a wide variety of real-world scenarios, and developers can adjust the packet reception performance of LoRa through physical layer parameter configuration to meet the requirements. However, since the important details of the relationship between the physical layer parameters and the packet reception performance of LoRa remain unknown, it is a challenge to choose the appropriate parameter configuration to meet the requirements of the scenarios. Moreover, with the increase in application scenarios, the requirements for energy consumption become increasingly high. Therefore, it is also a challenge to know how to configure the parameters to maximize the energy efficiency while maintaining a high data rate. In this work, a complex evaluation experiment on the communication capability under a negative Signal to Noise Ratio is presented, and the specific details of the relationship between physical layer parameters and the packet reception performance of LoRa are clarified. Furthermore, we study the impact of the packet length on the packet reception performance of LoRa, and the experimental results show that when there is a large amount of data to be transmitted, it is better to choose long packets instead of short packets. Finally, considering the influence of physical layer parameters and the packet length on the packet reception performance of LoRa, the optimal parameter combination is explored, so as to propose a transmission scheme with a balanced reliability, delay, and energy consumption. This scheme is the first to consider the physical layer parameters and packet length together to study the communication transmission scheme, which reduces the communication time by 50% compared with the traditional transmission scheme and greatly reduces the energy consumption.

Analysis and Simulation of UHF RFID System Based on ISO/IEC18000-6 Protocol

2012 ◽  
Vol 459 ◽  
pp. 211-214
Author(s):  
Qiu Lin Sheng ◽  
Shan He
Keyword(s):  
Uhf Rfid ◽  
Matlab Simulink ◽  
Modulation And Demodulation ◽  
Rfid System

The architecture of UHF RFID is designed and simulated based on ISO/IEC18000-6 protocol. The simulation is divided into the transmitter and receiver part using Matlab/Simulink. This article describes the architecture of the model in details, and achieves flexibly modulation and demodulation of different encoding types. Finally, some results of the simulation are presents

scholarly journals Identification and authentication for wireless transmission security based on RF-DNA fingerprint

2019 ◽  
Vol 2019 (1) ◽  
Author(s):  
Xueli Wang ◽  
Yufeng Zhang ◽  
Hongxin Zhang ◽  
Xiaofeng Wei ◽  
Guangyuan Wang
Keyword(s):  
Radio Frequency ◽  
Classification Accuracy ◽  
Signal To Noise Ratio ◽  
Additive White Gaussian Noise ◽  
Wireless Transmission ◽  
Dna Fingerprint ◽  
Support Vector ◽  
Multiple Discriminant Analysis ◽  
Security Issue ◽  
Rf Devices

Abstract For wireless transmission, radio-frequency device anti-cloning has become a major security issue. Radio-frequency distinct native attribute (RF-DNA) fingerprint is a developing technology to find the difference among RF devices and identify them. Comparing with previous research, (1) this paper proposed that mean (μ) feature should be added into RF-DNA fingerprint. Thus, totally four statistics (mean, standard deviation, skewness, and kurtosis) were calculated on instantaneous amplitude, phase, and frequency generated by Hilbert transform. (2) We first proposed using the logistic regression (LR) and support vector machine (SVM) to recognize such extracted fingerprint at different signal-to-noise ratio (SNR) environment. We compared their performance with traditional multiple discriminant analysis (MDA). (3) In addition, this paper also proposed to extract three sub-features (amplitude, phase, and frequency) separately to recognize extracted fingerprint under MDA. In order to make our results more universal, additive white Gaussian noise was adopted to simulate the real environment. The results show that (1) mean feature conducts an improvement in the classification accuracy, especially in low SNR environment. (2) MDA and SVM could successfully identify these RF devices, and the classification accuracy could reach 94%. Although the classification accuracy of LR is 89.2%, it could get the probability of each class. After adding a different noise, the recognition accuracy is more than 80% when SNR≥5 dB using MDA or SVM. (3) Frequency feature has more discriminant information. Phase and amplitude play an auxiliary but also pivotal role in classification recognition.

Optimal Parameter Design of Solder Residue in Flip Chip Process by Using Taguchi Method

2010 ◽  
Vol 443 ◽  
pp. 543-548
Author(s):  
Jian Long Kuo ◽  
Kai Lun Chao ◽  
Chun Cheng Kuo
Keyword(s):  
Taguchi Method ◽  
Product Quality ◽  
Manufacturing Process ◽  
Flip Chip ◽  
Optimal Parameter ◽  
Experimental Testing ◽  
Signal To Noise Ratio ◽  
Optimal Solution ◽  
Passive Component

Because the solder residue was found in the manufacturing process which greatly affected the product quality, the purpose of this paper was to make the product quality improved and to find an optimal solution for process parameters in the flip chip process. The experimental testing was based on SMT manufacturing process. The amount and size of solder left on passive component in the process of manufacturing were considered as the quality traits. Since too many solders left on the passive component side during flux cleaning process, it was possible that the balling would be flowed into the chip, which caused the bump short in the chip and affected the quality of the product. In this paper, orthogonal array by using Taguchi method is adopted as the effective experimental method with the least experimental runs. Also, based on the quality evaluation of signal-to-noise ratio, the ANOVA is used to evaluate the effects of quality target according to the experimental results. The results reveal that the optimization in the process is confirmed. Therefore, this study can effectively improve the solder residue in semiconductor manufacturing process.

Dämpfungsschlitze in Kreissägeblättern*/Parametric FE analysis to identify the mode of action of damping slots in circular saw blades

2015 ◽  
Vol 105 (01-02) ◽  
pp. 41-46
Author(s):  
C. Birenbaum ◽  
U. Heisel ◽  
S. Weiland
Keyword(s):  
Finite Element Analysis ◽  
Thermal Expansion ◽  
Analytical Approach ◽  
Simulation Models ◽  
Fe Analysis ◽  
Element Analysis ◽  
Annular Plates ◽  
Circular Saw ◽  
Characteristic Modes ◽  
The Relationship

In Kreissägeblättern werden zur Verminderung von Schwingungen und zum Ausgleich thermischer Dehnungen sogenannte Dehnungs- und Dämpfungsschlitze eingebracht. Die Wirkungsweise der Schlitze auf die dynamischen Eigenschaften besteht einerseits in der Dämpfungswirkung sowie andererseits in der Modifikation der Schwingungseigenformen. Um Wirkmechanismen und Optimierungsmöglichkeiten zu identifizieren, werden in den hier vorgestellten Untersuchungen mithilfe der Finiten-Elemente-Methode (FEM) Analysen von Kreisscheiben mit einfachen Schlitzkonfigurationen durchgeführt. Hierdurch sollen Zusammenhänge einzelner Schlitzparameter mit den statischen und dynamischen Eigenschaften von Kreissägeblättern aufgezeigt werden. Zur Validierung des entwickelten Simulationsmodells dienen analytische Berechnungen.   To reduce vibrations and adjust for thermal expansion, so-called damping slots and expansion slots are applied to circular saw blades. The slots affect the dynamic behavior of the saw blades by damping the vibration and altering the characteristic modes and frequencies. An FE(Finite Element) analysis of annular plates with simple arrangements of damping and expansion slots is performed to identify the mechanisms and improvement opportunities. This allows determining the relationship between slot parameters and the static and dynamic qualities of circular saw blades. The developed simulation models are validated using an analytical approach.

scholarly journals STATISTICAL MODEL FOR THE RELATIONSHIP BETWEEN MAIZE KERNEL ORIENTATION AND SEED LEAF AZIMUTH

2015 ◽  
Vol 52 (3) ◽  
pp. 359-370
Author(s):  
ADRIAN KOLLER ◽  
GUILHERME TORRES ◽  
MICHAEL BUSER ◽  
RANDY TAYLOR ◽  
BILL RAUN ◽  
...  
Keyword(s):  
Simulation Models ◽  
Circular Statistics ◽  
Von Mises Distribution ◽  
Canopy Closure ◽  
Canopy Architecture ◽  
Maize Kernel ◽  
Angular Data ◽  
Significant Yield ◽  
Von Mises ◽  
The Relationship

SUMMARYHand-planted plots of across-row-oriented corn seeds (Zeamays L.) produce highly structured leaf canopies and have shown significant yield advantage over randomly planted plots in prior studies. For further investigation of the phenomenon by simulation, the objective of this study was to develop a probabilistic model for the correlation between seed orientation and initial plant orientation. In greenhouse trials, the azimuthal orientation of kernels of four different hybrids was recorded at planting. At collar setting of the seed leaf, the orientation of the seed leaf was determined and the angular data subjected to the analytical methods of circular statistics. The results indicate that the correlation between seed azimuth and seed leaf azimuth can be described by a von Mises distribution. The probabilistic seed to seed leaf azimuth model described herein may be implemented in simulation models to investigate the effect of canopy architecture, canopy closure and light interception efficiency of corn under conditions of seed oriented planting.

A Multi-Tag Emulator for the UHF RFID System

2014 ◽  
Vol 63 (6) ◽  
pp. 1461-1469 ◽  
Author(s):  
Qi Peng ◽  
Chun Zhang ◽  
Zhihua Wang
Keyword(s):  
Uhf Rfid ◽  
Rfid System

scholarly journals Ideal ratio mask estimation using supervised DNN approach for target speech signal enhancement

2021 ◽  
pp. 1-15
Author(s):  
Poovarasan Selvaraj ◽  
E. Chandra
Keyword(s):  
Real Time ◽  
Speech Signal ◽  
Signal To Noise Ratio ◽  
Additive White Gaussian Noise ◽  
Time Delay Estimation ◽  
Variational Model ◽  
Speech Signals ◽  
Frequency Noise ◽  
Intrinsic Mode Functions ◽  
Real Time Applications

The most challenging process in recent Speech Enhancement (SE) systems is to exclude the non-stationary noises and additive white Gaussian noise in real-time applications. Several SE techniques suggested were not successful in real-time scenarios to eliminate noises in the speech signals due to the high utilization of resources. So, a Sliding Window Empirical Mode Decomposition including a Variant of Variational Model Decomposition and Hurst (SWEMD-VVMDH) technique was developed for minimizing the difficulty in real-time applications. But this is the statistical framework that takes a long time for computations. Hence in this article, this SWEMD-VVMDH technique is extended using Deep Neural Network (DNN) that learns the decomposed speech signals via SWEMD-VVMDH efficiently to achieve SE. At first, the noisy speech signals are decomposed into Intrinsic Mode Functions (IMFs) by the SWEMD Hurst (SWEMDH) technique. Then, the Time-Delay Estimation (TDE)-based VVMD was performed on the IMFs to elect the most relevant IMFs according to the Hurst exponent and lessen the low- as well as high-frequency noise elements in the speech signal. For each signal frame, the target features are chosen and fed to the DNN that learns these features to estimate the Ideal Ratio Mask (IRM) in a supervised manner. The abilities of DNN are enhanced for the categories of background noise, and the Signal-to-Noise Ratio (SNR) of the speech signals. Also, the noise category dimension and the SNR dimension are chosen for training and testing manifold DNNs since these are dimensions often taken into account for the SE systems. Further, the IRM in each frequency channel for all noisy signal samples is concatenated to reconstruct the noiseless speech signal. At last, the experimental outcomes exhibit considerable improvement in SE under different categories of noises.

scholarly journals Minimum Array Elements for Resolution of Several Direction of Arrival Estimation Methods in Various Noise-Level Environments

2018 ◽  
Vol 2 ◽  
pp. 87-94
Author(s):  
Ismail El Ouargui ◽  
Said Safi ◽  
Miloud Frikel
Keyword(s):  
Gaussian Noise ◽  
Noise Level ◽  
Signal To Noise Ratio ◽  
Additive White Gaussian Noise ◽  
Direction Of Arrival ◽  
Estimation Algorithm ◽  
Doa Estimation ◽  
Estimation Methods ◽  
Minimum Number ◽  
Informative Signals

The resolution of a Direction of Arrival (DOA) estimation algorithm is determined based on its capability to resolve two closely spaced signals. In this paper, authors present and discuss the minimum number of array elements needed for the resolution of nearby sources in several DOA estimation methods. In the real world, the informative signals are corrupted by Additive White Gaussian Noise (AWGN). Thus, a higher signal-to-noise ratio (SNR) offers a better resolution. Therefore, we show the performance of each method by applying the algorithms in different noise level environments.

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