scholarly journals Implementation of Transceiver module for SDR system using ADALM PLUTO platform

2018 ◽  
Vol 7 (4.6) ◽  
pp. 279
Author(s):  
Sowjanya. P. ◽  
Satyanarayana P.

Software Defined Radio (SDR) provides a comprehensive radio communication platform, based on which new technology can be used through software update. This leads to a large-scale reduction in expansion costs and enables the product to maintain technology development. The SDR platform can be set up with an open, standard, and programmable hardware platform, based on which the functions of the radio can be perceived by adding appropriate software modules. In this platform, the transformation and expansion of the radio functions are done in a software version without the need for a modification of the equipment. Such software radio station can easily communicate with the current or upcoming radio stations. In this article, we analyze SDR evolution and various platforms and implement various modulation techniques with the aim of successfully transferring a message wirelessly over-the-air using ADALM-PLUTO SDR platform by Analog Devices. 

Author(s):  
Ehsan Sheybani

Challenges involved in space communications across wireless channels call for new approaches to radio systems. Due to the growing need for frequency change in modern wireless systems, an adaptive radio system has the highest demand. Software-defined radios (SDR) offer this type of adaptivity as well as compatibility with other standard platforms such as USRP/GNU radio. Despite limitations of this approach due to hardware components, viable modeling and simulation as well as deployable systems are possible using this platform. This chapter presents a detailed implementation procedure for a USRP/GNU radio-based SDR communication system that can be used for practical experiments as well as an academic lab in this field. In this experiment the USRP has been configured to receive signal from a local radio station using the BasicRX model daughterboard. The programmable USRP executes Python block code implemented in the GNU Radio Companion (GRC) on Ubuntu OS.


2021 ◽  
Vol 13 (24) ◽  
pp. 13952
Author(s):  
Yiyang Liu ◽  
Sigbjorn Tveteras ◽  
Jinghua Xie

Aquaculture supply from China has been a remedy to meet the growing global demand for seafood in the last decades. However, output growth has decreased dramatically in China in the 2000s. Previous literature focuses on the ecosystem problems arising in intensive farming in China. In this study, we used stochastic production analysis (SPA) to estimate the technical efficiency of Chinese large yellow croaker farming, which provides implications for impediments to the sustainable development of Chinese aquaculture. Data were collected from 430 large yellow croaker farmers in nine farming areas located along the coastline of southeastern China. The technical efficiency of large yellow croak farming is estimated to be 0.829, suggesting that farming is operated close to the production frontier with a maximal margin of 17% for improvement under the current technology. It further suggests that Chinese aquaculture growth is geared by conventional factors, expansion of fishing sites, and intensive farming, and is not sustainable under the constraint of farming areas and environmental problems in China. For the sustainable development of Chinese aquaculture, it is necessary to adopt new technology through innovation. The family-based farming model is a hinder to adopting new technology that requires systematic significant investment. Large-scale industrialized farming based on research and new technology development thus should be a modern trend in the future.


Author(s):  
David Doukhan ◽  
Géraldine Poels ◽  
Zohra Rezgui ◽  
Jean Carrive

A large-scale description of men and women speaking-time in media is presented, based on the analysis of about 700.000 hours of French audiovisual documents, broadcasted from 2001 to 2018 on 22 TV channels and 21 radio stations. Speaking-time is described using Women Speaking Time Percentage (WSTP), which is estimated using automatic speaker gender detection algorithms, based on acoustic machine learning models. WSTP variations are presented across channels, years, hours, and regions. Results show that men speak twice as much as women on TV and on radio in 2018, and that they used to speak three times longer than women in 2004. We also show only one radio station out of the 43 channels considered is associated to a WSTP larger than 50%. Lastly, we show that WSTP is lower during high-audience time-slots on private channels. This work constitutes a massive gender equality study based on the automatic analysis of audiovisual material and offers concrete perspectives for monitoring gender equality in media.The software used for the analysis has been released in open-source, and the detailed results obtained have been released in open-data.


Electronics ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1354
Author(s):  
Aboajeila Milad Ashleibta ◽  
Adnan Zahid ◽  
Syed Aziz Shah ◽  
Qammer H. Abbasi ◽  
Muhammad Ali Imran

Human activity (HA) sensing is becoming one of the key component in future healthcare system. The prevailing detection techniques for IHA uses ambient sensors, cameras and wearable devices that primarily require strenuous deployment overheads and raise privacy concerns as well. This paper proposes a novel, non-invasive, easily-deployable, flexible and scalable test-bed for identifying large-scale body movements based on Software Defined Radios (SDRs). Two Universal Software Radio Peripheral (USRP) models, working as SDR based transceivers, are used to extract the Channel State Information (CSI) from continuous stream of multiple frequency subcarriers. The variances of amplitude information obtained from CSI data stream are used to infer daily life activities. Different machine learning algorithms namely K-Nearest Neighbour, Decision Tree, Discriminant Analysis and Naïve Bayes are used to evaluate the overall performance of the test-bed. The training, validation and testing processes are performed by considering the time-domain statistical features obtained from CSI data. The K-nearest neighbour outperformed all aforementioned classifiers, providing an accuracy of 89.73%. This preliminary non-invasive work will open a new direction for design of scalable framework for future healthcare systems.


Author(s):  
A. Yu. Bekkiev ◽  
V. A. Makoviy

Modern radio communication means to provide safe data transmission due to adapting radio channel to the actual noise environment. It is impossible to conduct proper comparative tests on various radio stations offered by manufacturers and to compare objectively the results obtained in field without actual signal parameters and noise environment instrument inspection at the reception point. The paper considers tactical level radio communications system operation when jammed with powerful impulse noise of various nature. It suggests a device enabling to assess the main parameters of impulse noise, namely desired signal and additive noise mixture envelope effective value, impulse noise envelope effective value, impulse noise duty factor. To provide measurement independence from a specific realization of a decoder it is suggested to use the envelope of a signal received by a radio station. The developed device uses standard radio channel data batches as measuring signals and does not require changing radio channel or radio network algorithms and timing charts. A method to assess the effective value of desired signal envelope and additive noise mean-square value when the received signal involves impulse noise is suggested. The paper demonstrates that valid assessment of desired signal and additive noise mixture is possible in case of setting aside selection values affected by impulse noise. A device separating symbols affected by impulse noise from those that are not affected is suggested. Formulas that allow synthesizing the device operation algorithms are obtained. The structure chart of the measurer is developed; the algorithms used to assess measured parameters are given.


Author(s):  
Ehsan Sheybani ◽  
Giti Javidi

The USRP1 is the original Universal Software Radio Peripheral hardware (USRP) that provides entry-level RF processing capability. Its primary purpose is to provide flexible software defined radio development capability at a low price. You can control the frequency you receive and transmit by installing different daughter-boards. The authors' USRP model had been configured to receive a signal from local radio stations in the DC, Maryland metropolitan area with the BasicRX model daughterboard. The programmable USRP was running python block code implemented in the GNU Radio Companion (GRC) on Ubuntu OS. With proper parameters and sinks the authors were able to tune into the radio signal, record the signal and extract the in-phase (I) and quadrature phase (Q) data and plot the phase and magnitude of the signal. Using the terminal along with proper MATLAB and Octave code, they were able to read the I/Q data and look at the Fast Fourier Transform (FFT) plot along with the I/Q data. With the proper equations, you could determine not only the direction of arrival, but one would also be able to calculate the distance from the receiver to the exact location where the signal is being transmitted. The purpose of doing this experiment was to gain experience in signal processing and receive hands on experience with the USRP and potentially add a tracking system to the authors' model for further experiments.


2020 ◽  
Vol 4 (2) ◽  
pp. 286-295
Author(s):  
Aviv Yuniar Rahman ◽  
Mamba’us Sa’adah ◽  
Istiadi

Noise reduction is an important process in a communication system, one of which is radio communication. In the process of broadcasting radio Frequency Modulation (FM) often encountered noise so that listeners find it difficult to understand the information provided. In the past, noise reduction used traditional filters that were only able to filter certain frequencies. However, for future technologies an adaptive filter is needed that can dynamically reduce noise effectively. Register Level-Software Defined Radio (RTL-SDR) can capture signals with a very wide frequency range but has a less clear sound quality. So it needs to be done noise reduction. In this study, two methods are used, namely Least Mean Square (LMS) and Recursive Least Square (RLS). The data used five radio stations in Malang. The results showed that the LMS algorithm is stable but has a slow convergence speed, whereas the RLS algorithm has poor stability but has a high convergence speed. From the test, it can be concluded that the performance of RLS is better than LMS for noise reduction in RTL-SDR. The best performance is the reduction of White Noise using RLS on the Oryza radio station with an Normalized Weight Differences (NWD) value of -13.93 dB.


Author(s):  
Simon Thomas

Trends in the technology development of very large scale integrated circuits (VLSI) have been in the direction of higher density of components with smaller dimensions. The scaling down of device dimensions has been not only laterally but also in depth. Such efforts in miniaturization bring with them new developments in materials and processing. Successful implementation of these efforts is, to a large extent, dependent on the proper understanding of the material properties, process technologies and reliability issues, through adequate analytical studies. The analytical instrumentation technology has, fortunately, kept pace with the basic requirements of devices with lateral dimensions in the micron/ submicron range and depths of the order of nonometers. Often, newer analytical techniques have emerged or the more conventional techniques have been adapted to meet the more stringent requirements. As such, a variety of analytical techniques are available today to aid an analyst in the efforts of VLSI process evaluation. Generally such analytical efforts are divided into the characterization of materials, evaluation of processing steps and the analysis of failures.


Author(s):  
V. Kostiuk ◽  
Yu. Kostiuk ◽  
O. Usmanova

<div><p class="1"><em>The article’s research used the analysis scientific-sources base on a select question, web-sites of the stations (media concern TAVR Media and Internet-station </em><em>SKOVORODA), monitoring.</em></p></div><p><em>Broadcast relieve some periods of improvement, evolution and development, based on it’s features. One of the progress’ reason is technology development connected with radio. The end of last century and twenty years of current one characterise by universalism and convergence, that let media, beyond broadcast, had got the characteristics it never had before: watch the radio, fast connection between audience representers, communication with station’s journalists.</em></p><p><em>It made some influence and changes on the principles of formatting and functioning journalists professions at the radio. First, media concerns started to appeared, which have some stations in their structure, that have same top managers, almost similar department, close principles of airing. Second, Internet-stations let their audience the possibility to observe the air.</em></p><p><em>During the research, we defined, the administration of TAVR Media has the managers on each direction: manager of radio group, financial manager, commercial one (responsible for the sale), marketing director, (pr and image), general producer (manage musician direction), the station’s director.</em></p><p><em>Today, station has to work in active way and communicate with their audience, using messengers, profiles in social media. As a result, radio stations have in their arsenal person or group of persons which responsible for that activity. For example, web-radio SKOVORODA has a man, who manage </em><em><br /> </em><em>IT-work. Main duties of him: work with social medias, site content, deal with e-mail. Station’s of</em><em> </em><em>TAVR Media group (Melodiya FM, Relax, Radio Rocks, Russkoye Radio v Ukrayini, KISS FM, ХІТ FM) also have representers of modern professions: the head of digital department, traffic manager, system admin, etc.</em></p><p><em>Comparative analysis of the professions at radio, which include in the concern TAVR Media and web-station SKOVORODA did in the articleIn.</em></p><p><em>The research results can be used during the further study of radio journalism, teaching of one’s subject during the process of study students at faculture journalism, business media, management, etc.</em></p><p><strong><em>Key words:</em></strong><em> fm-broadcast, web-radio, journalist professions, media concern, radio presenter.</em><em></em></p>


Author(s):  
Jianwei Zhou ◽  
Wei Zheng ◽  
Taekoo Lee

Abstract Multi-Chip Package (MCP) decapsulation is now becoming a rising problem. Because for traditional decapsulation method, acid can’t dissolve the top silicon die to expose the bottom die surface in MCP. It makes inspecting the bottom die in MCP is difficult. In this paper, a new MCP decapsulation technology combining mechanical polishing with chemical etching is introduced. This new technology can remove the top die quickly without damaging the bottom die using KOH and Tetra-Methyl Ammonium Hydroxide (TMAH). The technology process and relative application are presented. The factors that affect the KOH and TMAH etch rate are studied. The usage difference between the two etchant is discussed.


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