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Journal articles on the topic 'RTL-SDR'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 April 2022

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1

Yagoub, Reda, B. Benadda, M. Benaissa, A. Taleb-Ahmed, A. Lahouel, and F. Zane. "LOW COST SDR RECEIVER IMPLEMENTATION USING RTL-SDR DONGLE." Telecommunications and Radio Engineering 78, no. 8 (2019): 691–705. http://dx.doi.org/10.1615/telecomradeng.v78.i8.50.

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2

Valkanas, Antonios, Divyanshu Pandey, and Harry Leib. "Surfing the Radio Spectrum Using RTL-SDR." IETE Journal of Education 60, no. 2 (October 9, 2019): 65–73. http://dx.doi.org/10.1080/09747338.2019.1673839.

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3

Yedukondalu Kamatham, Dr, and Sushmitha Pollamoni. "Implementation of Automatic Aircraft Tracking with RTL-SDR." CVR Journal of Science & Technology 17, no. 1 (December 1, 2019): 30–34. http://dx.doi.org/10.32377/cvrjst1706.

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4

Rahman, Md Habibur, and Md Mamunoor Islam. "A Practical Approach to Spectrum Analyzing Unit Using RTL-SDR." Rajshahi University Journal of Science and Engineering 44 (November 19, 2016): 151–59. http://dx.doi.org/10.3329/rujse.v44i0.30400.

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In the present scenario, there has been an immense advancement in the field of wireless communication in this modern engineering world. Now-a-days Software Defined Radio (SDR) technology is an indisputable emerging technology and presents new challenges for communications engineers. The advancement of SDR system has made significant progress in recent years which makes it as a serious substitute of traditional hardware radio architectures where the mathematical procedures are obligatory to decode and process radio signals using analogue circuitry. Recently, computers have turned out to be powerful enough to do the required mathematical calculations using software. So aim of this paper is to demonstrate a RTL-SDR based spectrum analyzer which can be used proficiently as an alternative of existing hardware spectrum analyzer. This approach will lessen the complexity of analogue hardware system with the higher tractability of software based filtering and demodulation techniques. As RTL-SDR devices are quite cheap (Approximately 20$) and small sized, this system also offers cost effectiveness with provision of portability. An experimental study was conducted with suitable conditions to examine the feasibility and efficiency of the proposed system. The outcome of experimental result is thoroughly examined in this paper.

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5

Mediavilla, Juan Romero, Cristian Arias Espinoza, Alex Pachacama Espinosa, and Franklin Salazar. "Design of a Passive Radar based on RTL-SDR technology with coherent dual channel." Journal of Physics: Conference Series 2199, no. 1 (February 1, 2022): 012023. http://dx.doi.org/10.1088/1742-6596/2199/1/012023.

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Abstract In this research, a passive radar aimed at the detection of unmanned aerial vehicles was developed. As a UAV navigates at low altitudes and high speeds, RTL-SDR modules are used that with the help of two antennas, one directional and one reference, the position of the object is detected through bounce and signal discrimination, for which several tests were carried out in based on frequencies that are in the FM range. For this, GNU radio is used and data processing with Python in the Anaconda guide that facilitates obtaining data visually through a video of the frequency of the Doppler effect vs the distance in kilometers. Also, mention is made of the synchronization arrangement that is established between the RTL-SDR modules based on their oscillator.

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6

Harianto, BB. "STUDI EKPERIMENTAL PENERIMA ADS-B MENGGUNAKAN RTL 1090 DAN RTL-SDR R820T2 DI BANDARA JUANDA SURABAYA." Jurnal Penelitian 4, no. 3 (November 29, 2019): 20–28. http://dx.doi.org/10.46491/jp.v4e3.346.20-28.

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Automatic Dependent Surveillance Broadcast (ADS-B) adalah sebuah teknologi surveillance menggunakan informasi posisi dari satelit yang dipancarkan (broadcast) secara terus-menerus. Salah satu permasalahan dalam perkembangan teknologi surveillance yaitu bagaimana mendeteksi atau memantau pesawat dengan teknologi peralatan yang murah, dimana diketahui peralatan surveillance yang ada di bandara Indonesia cenderung mahal harganya bahkan modul-modul peralatan tiap-tiap alat surveillance dijual khusus sesuai merk dan tipe tiap-tiap peralatan surveillance. Permasalahan yang juga dihadapi di bandara Indonesia yaitu terbatasnya peralatan surveillance yang ada di tiap-tiap bandara terutama peralatan ADS-B, dimana rata-rata di bandara cabang dan unit di Indonesia belum mempunyai peralatan ADS-B dan hanya menggunakan situs Flightradar24 sebagai sumber informasinya. Flightradar24 adalah layanan jasa berbasis internet yang menunjukan informasi penerbangan pesawat terbang yang meliputi Ident atau Squawk, Heading dan Track. Akan tetapi Flightradar24 memiliki beberapa kelemahan, diantaranya adalah jika pengguna ingin menampilkan informasi lebih banyak, pengguna diharuskan membayar secara berkala atau berlangganan, dan delay yang terjadi karena pemrosesan data dan dibutuhkannya internet untuk bisa menjalankannya. Oleh karena itu penulis membuat Analisa terutama daya yang diterima sebuah perangkat receiver ADS-B yang menggunakan RTL-SDR R820T2 untuk memproses sinyal yang dipancarkan transponder pesawat untuk mendapat informasi berupa 24 bit ICAO aircraft address, Nationality, Ident atau Squawk, Altitude, Latitude, Longitude, Speed, Heading dan Track sehingga dapat membantu user untuk mengamati sebuah target atau pesawat.

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7

N, Akshay, Shruthi R, Sushmitha K N, Vanitha R, and Rekha K R. "Live Aircraft Detection with Mode-S Transponder Using RTL-SDR." International Journal of Advanced Research in Computer Science and Software Engineering 7, no. 5 (May 30, 2017): 490–96. http://dx.doi.org/10.23956/ijarcsse/sv7i5/0326.

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8

Bułat, J. ""ZRÓB TO SAM" - KOMPUTEROWY ODBIORNIK RTL-SDR RADIA CYFROWEGO DAB+." PRZEGLĄD TELEKOMUNIKACYJNY - WIADOMOŚCI TELEKOMUNIKACYJNE 1, no. 8-9 (September 5, 2015): 712–23. http://dx.doi.org/10.15199/59.2015.8-9.101.

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9

Asyaev, G. D., I. S. Antyasov, and M. S. Ufimcev. "Investigation of spurious electromagnetic radiation from a monitor using an RTL-SDR receiver." Journal of the Ural Federal District. Information security 19, no. 4 (2019): 15–21. http://dx.doi.org/10.14529/secur190402.

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10

Satya Narayana, P., M. N.V.S. Syam Kumar, A. Keerthi Kishan, and K. V.R.K. Suraj. "Design approach for wideband FM receiver using RTL-SDR and raspberry PI." International Journal of Engineering & Technology 7, no. 2.31 (May 29, 2018): 9. http://dx.doi.org/10.14419/ijet.v7i2.31.13386.

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Software defined radio replaced majority of hardware modules like mixers, filters, modulators and demodulators etc., with Software blocks in the field of radio electronics and communication. In this some or all the functionalities are Configurable using this software implemented on technologies like FPGAs, DSPs etc. Owing to lack of ease in implementing and reconfiguring huge hardware modules, we move on to implement an adaptable communication system with the help of SDR, as it can be easily configured to work with wide range of frequencies. We find various SDR transceiver modules which can be interfaced with digital computer and aided with firmware like GNU radio, SDR shark, etc., allowing us to construct blocks with the help of built in components that decode and process the received data and produce required output. In requirement of implementing a cost-effective, compact sized and portable system, we use a processing unit providing enough computational power to perform signal processing tasks which is Raspberry pi. Here we are going to implement a low cost SDR communication system that capture, process and visualize the Wide Band Frequency signal.

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11

Yagoub, Reda, Mohamed Benaissa, and Belkacem Benadda. "Nearby Carrier Detection Based on Low Cost RTL-SDR Front End." Wireless Personal Communications 108, no. 4 (May 10, 2019): 2341–58. http://dx.doi.org/10.1007/s11277-019-06524-6.

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12

Gubaydullin, I. R., and T. T. Mamedov. "Digital Signal Processing Using an RTL-SDR Dongle by the Example of FM signal." Rocket-space device engineering and information systems 6, no. 2 (2019): 38–43. http://dx.doi.org/10.30894/issn2409-0239.2019.6.2.38.43.

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13

Rahman, Aviv Yuniar, Mamba’us Sa’adah, and Istiadi. "Noise Reduction in RTL-SDR using Least Mean Square and Recursive Least Square." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 4, no. 2 (April 19, 2020): 286–95. http://dx.doi.org/10.29207/resti.v4i2.1667.

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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.

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14

Vasiuta, M. S., and M. M. Medvedsky. "Creation of in-sky safety system using ADS-B radar receiver based on RTL-SDR device for SLR station Golosiiv." Advances in Astronomy and Space Physics 9, no. 1 (2019): 28–32. http://dx.doi.org/10.17721/2227-1481.9.28-32.

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The purpose of this work is to develop and assemble the real-time in-sky safety system for SLR (Satellite Laser Ranging) system. It is based on receiving ADS-B protocol aircraft data via RTL-SDR device. This solution represents an asynchronous service in the SLR laser control system. It instantly inhibits SLR laser pulses in order to prevent illumination of an aircraft. The service is ready at the SLR station ‘Golosiiv’ (Ukraine) (EUROLAS Data Center ID – 1824).

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15

Irawan, Fery, Ciksadan Ciksadan, and Suroso Suroso. "Rancang Bangun Receiver Sinyal ADS-B Pesawat Menggunakan RTL-SDR serta Antena 1090 MHz." PRotek : Jurnal Ilmiah Teknik Elektro 7, no. 2 (September 7, 2020): 84–89. http://dx.doi.org/10.33387/protk.v7i2.2018.

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16

Mishra, Madhuram, and Dr Anjali Potnis. "Wireless Transmission Detection and Monitoring System using GNU Radio and Multiple RTL – SDR Receivers." International Journal of Engineering Research and Applications 07, no. 07 (July 2017): 70–76. http://dx.doi.org/10.9790/9622-0707017076.

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17

Aswathi M., Gandhiraj R., and Soman K.P. "Application and Analysis of Smart Meter Data along with RTL SDR and GNU Radio." Procedia Technology 21 (2015): 317–25. http://dx.doi.org/10.1016/j.protcy.2015.10.039.

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18

Harianto, B. B., Ade Irfansyah, and Yuyun Suprapto. "Low cost prototype simulation of spectrum analyzer base on GNU radio and RTL-SDR." IOP Conference Series: Materials Science and Engineering 909 (December 22, 2020): 012011. http://dx.doi.org/10.1088/1757-899x/909/1/012011.

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19

Diraputra, M. Yoga Azto, Sopian Soim, and Sarjana Sarjana. "Rancang Bangun Monitoring Lokasi Pesawat Menggunakan ADS-B dengan RTL-SDR dan Raspberry Pi." PROtek : Jurnal Ilmiah Teknik Elektro 8, no. 2 (September 4, 2021): 89. http://dx.doi.org/10.33387/protk.v8i2.3233.

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20

严, 金承. "The Research and Implement of ADS-B Response Signal Processing Platform Based on RTL-SDR." Journal of Image and Signal Processing 08, no. 02 (2019): 29–35. http://dx.doi.org/10.12677/jisp.2019.82005.

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21

Stewart, Robert W., Louise Crockett, Dale Atkinson, Kenneth Barlee, David Crawford, Iain Chalmers, Mike Mclernon, and Ethem Sozer. "A low-cost desktop software defined radio design environment using MATLAB, simulink, and the RTL-SDR." IEEE Communications Magazine 53, no. 9 (September 2015): 64–71. http://dx.doi.org/10.1109/mcom.2015.7263347.

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22

Silva Cabral, Yngrid Keila, Paulo Ribeiro Lins Júnior, and Jerônimo Silva Rocha. "Proposta de arcabouço experimental para rede de sensoriamento espectral usando rádio definido por software." Revista Principia - Divulgação Científica e Tecnológica do IFPB 1, no. 44 (April 2, 2019): 88. http://dx.doi.org/10.18265/1517-03062015v1n44p88-99.

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<p>This paper presents an architecture proposal for a spectrum sensing network using software defined radios. The radios responsible for the sensing are implemented with SDR-RTL, a low-cost radio, capable of receiving signals from several frequency bands, such as those used in FM, DAB and DVB-T. Sensing functions are implemented using GNU Radio, the most commonly used free software for configuring software-defined radios installed in Raspberry Pi’s, which makes the sensing structure significantly compact and inexpensive when compared to other solutions. Experiments are performed to measure the probability of detection in relation to the signal noiseratio, as a metric of the efficiency of the system proposed in this work</p>

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23

Nakayama, Daisuke, Takashi Yamauchi, Hirokazu Masui, Sangkyun Kim, Kazuhiro Toyoda, Tharindu Lakmal Dayarathna Malmadayalage, and Mengu Cho. "On-Orbit Experimental Result of a Non-Deployable 430-MHz-Band Antenna Using a 1U CubeSat Structure." Electronics 11, no. 7 (April 6, 2022): 1163. http://dx.doi.org/10.3390/electronics11071163.

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1U CubeSats often use the 430-MHz band for communication due to their size and power limitations, and half-wavelength dipole antennas are employed. A 430-MHz-band dipole antenna requires a deployable structure for a 1U CubeSat. However, a 1U CubeSat has a small volume margin for redundant systems, so the antenna deployment system can be a single point of failure. In this paper, the 1U CubeSat structure itself was used as an antenna. As a sub-mission of the BIRDS-4 project, three 1U CubeSats (GuaraniSat-1, Maya-2, and Tsuru) demonstrated this antenna structure. The results of the ground tests showed a maximum gain of −5.7 dBi with the flight model. These satellites were deployed from the International Space Station on 14 March 2021. Radio signals were alternately transmitted from the dipole antenna and the structure antenna onboard Tsuru for on-orbit demonstration on 15 December 2021, and the received signal strength on the ground was compared using RTL-SDR, SDR# and several codes. The ground station was able to receive both dipole and structure CW signals. The received power strength indicates that a gain of −8.1 dBi is being demonstrated with the structure antenna.

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Idubor, Scott O., Etinosa Noma-Osaghae, Kingsley O. Ogbeide, and Kennedy Okokpujie. "A Step Towards Enhancing Spectrum Utilization by Implementing a Spectrum Sensing Cognitive Radio Using an RTL-SDR." International Journal on Communications Antenna and Propagation (IRECAP) 8, no. 5 (October 31, 2018): 439. http://dx.doi.org/10.15866/irecap.v8i5.13954.

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Wiryadinata, Romi, Muhammad Khoirussolih, Neneng Rohanah, Imamul Muttakin, and Teguh Firmansyah. "Image Data Acquisition for NOAA 18 and NOAA 19 Weather Satellites Using QFH Antenna and RTL-SDR." MATEC Web of Conferences 218 (2018): 02002. http://dx.doi.org/10.1051/matecconf/201821802002.

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Satellite imaging is widely used in monitoring weather patterns and interpreting satellite images. The limited access to weather satellite image data in real-time is still major issues faced by satellite enthusiasts. NOAA 18 and NOAA 19 weather satellites provide free accessible weather data continuously through Automatic Picture Transmission at 137.9125 MHz and 137.1000 MHz frequencies. In this research the data acquisition system is designed with the help of a Quadrifilar Helix antenna and RTL-SDR. In order to receive both frequencies, the Quadrifilar Helix antenna at 137,5 MHz is designed. Recording, decoding, editing, and viewing of Automatic Picture Transmission signals using WXtoImg software. The result showed that the weather satellite image receptions are sufficiently clear and descriptive, although there are 0.0685% frequency offsets of Automatic Picture Transmission signal reception on NOAA 18 and 0.0686% on NOAA 19.

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26

Zabala, Mónica, Gary Cabeza, Mayra Pacheco, Byron Casignia, and Alejandra Oñate. "Sistema de recepción de información satelital basado en SDR." Ciencia Digital 3, no. 2.6 (June 22, 2019): 446–63. http://dx.doi.org/10.33262/cienciadigital.v3i2.6.591.

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La implementación de un sistema de recepción de información satelital basado en SDR parte desde el hecho de imitar el servicio de Outernet el cual es brindar información básica de meteorología, noticias, deportes, entre otras, a través de la constelación de cubesats, la desventaja que presenta outhernet es que la recepción de información en tiempo real de acuerdo al periodo del mismo, para solventar este problema se propone un sistema de recepción de información satelital diseñado en tres fases, la primera de tracking se diseña antenas Double Cross, Turnstile y yagi para evaluar el rendimiento en diferentes escenarios propuestos, las dos primeras son utilizadas a la recepción de información de los satélites meteorológicos NOAA y la tercera para la obtención de información de telemetría de los CubeSat de la familia OSCAR-AMSAT. Los escenarios propuestos se rigen a factores climáticos diversos y lugar de recepción dentro y fuera de la ciudad de Riobamba, la información recibida es decodificada utilizando el dongle USB RTL-SDR en conjunto con software libre WxtoImg, SDRsharp, Orbitron y FOX Telemetry Analisys Tool, la la segunda y tercera fase, consiste en el almacenamiento y distribucion a través de un servidor WEB a través de una red LAN. Se obtiene las imágenes satelitales con diferente SNR de acuerdo a cada escenario, resulta la más fiable en diseño y recepción la antena Double Cross en comparación con la antena Turnstile en un ambiente abierto y alejado de la contaminación local por diversos sistemas de comunicación, respecto a los satélites OSCAR-AMSAT la antena yagi diseñada funciona correctamente en la descarga de información de telemetría

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Pérez Insuasti, Juan José, Mónica Andrea Zabala Haro, Alexandra Orfelina Pazmiño Armijos, and Hugo Oswaldo Moreno Avilés. "Análisis de calidad de servicio en la transmisión por AM digital mediante el uso de códecs en USRP." ConcienciaDigital 3, no. 2.2 (June 5, 2020): 169–87. http://dx.doi.org/10.33262/concienciadigital.v3i2.2.1254.

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El objetivo fue realizar el estudio y análisis de la calidad de servicio en la transmisión am digital mediante el uso de códecs en USRP. La Metodología de desarrollo muestra claramente cómo se realizó el prototipo para la transmisión y recepción, empezando con la selección de dispositivos, el diseño, la ejecución y el análisis de los resultados obtenidos. Se basa en el estudio de las condiciones particulares en la transmisión y recepción de señal en AM digital (DRM), la implementación del transmisor en GNU Radio, la configuración del receptor en HDSDR y Dream SDR. Además de las tarjetas Ettus USRP N210, Ettus USRP B200 y RTL-SDR REALTEK RTL2832U. El resultado de este estudio fue la calidad de los niveles de servicio evaluados en la velocidad de transmisión (Kbps) y la relación señal / ruido (SNR) para determinar la fidelidad en la recepción de señales digitales. En base a los resultados se define que las características de funcionamiento de cada modo de robustez para un determinado canal de transmisión varían los valores de la velocidad de transmisión y la relación señal a ruido, ofreciendo el modo B una mejor protección de la señal con respecto al ruido, mientras que el modo A ofrece mayor velocidad de transmisión. El sistema DRM emplea las mejores tecnologías de compresión de sonido ya que usa los algoritmos de audio y voz del MPEG-4 que brinda excelente calidad de sonido a bajas tasas de bit como la codificación AAC.

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Hariyanto, Didik, Sholeh Hadi Pramono, and Erni Yudaningtyas. "Optimization of Missing Value Data Imputation Automatic Dependent Surveillance Broadcasting (ADS-B) Based on K-Nearest Neighbor and Genetic Algorithm." International Journal of Computer Applications Technology and Research 9, no. 12 (December 3, 2020): 327–31. http://dx.doi.org/10.7753/ijcatr0912.1003.

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The flight navigation equipments technology use still conventional, namely using radar, now slowly starting to switch to Automatic Dependent Surveillance-Broadcast (ADS-B [6]. In this study, using RTL-SDR to detect aircraft and carry out tests through the Monte Carlo alltitude method, latitude, and longitude only [3]. However, in this system there is a problem regarding the missing value in the preprocessed data results / ADS-B flow data. In handling missing values, the KNN method is the most popular, but the weakness in the KNN method, can reduce the performance[9]. So a Genetic Algorithm (GA) is proposed to optimize the k value in the KNN method. The results of this study obtained a better MSE value in the imputation process. Altitude k = 3, with MSE 128668.96, Speed k = 6, with the MSE value = 457.5201, while the k value in the Heading variable k = 61 with MSE = 752.1429. For Lattitude and Longitude, the value of k = 3, MSE 9.16E-05 and k = 2 and MSE 1.68E-05.

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Bestari, Nabila Shaffa, and Agus Wagyana. "Rancang Bangun Antena Bowtie pada Video Sender sebagai Pemancar TV Streaming." Jurnal Teknik Elektro 10, no. 2 (December 19, 2018): 59–63. http://dx.doi.org/10.15294/jte.v10i2.16403.

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A streaming television usually broadcasted through internet and can be watched on computer or mobile phone. However it can also be seen through television using video sender as the transmitter. To transmit it, of course, a suitable antenna is needed, in this case a bowtie antenna is selected. This research describe the design of a bowtie antenna that will be used as a transmitter antenna on a video sender. This bowtie antenna is designed by using an aluminum plate works on frequency of 655 MHz and has a return loss value of -21.127 dB, VSWR 1.192, 5.11 dB gain and bi-directional radiation pattern. The analysis process is carried out by analyzing the data taken from the audio and video results received in television as well as data from the measurement of signal strength captured by Register Transfer Level Software Define Radio (RTL SDR) and dipole antennas. Measurement results will be displayed in the sdrSharp software. The results of this measurement will be associated with field strength which is related to television signals. This bowtie antenna can transmit audio and video up to 30 m and has an average field strength value in Line of Sight (LOS) conditions of 120.3208 dBμV / m and at Non Line of Sight (NLOS) conditions of 123.5014 dBμV / m which is in accordance with the field strength standard in Indonesia that regulated in Perkominfo No. 31 Tahun 2014 which is above 70 dBμV / m in band V.

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30

Sabur, Fatmawati, and Ucok Sinaga. "Rancang Bangun Trainer Spectrum Analyzer berbasis Raspberry Phyton dan Register Transfer Level - Software Defined Radio." AIRMAN: Jurnal Teknik dan Keselamatan Transportasi 3, no. 2 (December 28, 2020): 1–8. http://dx.doi.org/10.46509/ajtk.v3i2.161.

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Spectrum Analyzer merupakan perangkat yang dapat menganalisis atau menguji kondisi suatu sistem frekuensi dalam suatu jaringan komunikasi. Kondisi yang terjadi dilapangan adalah harga beli dari sebuah Spectrum Analyzer yang tinggi menyebabkan tidak semua pihak mampu memilikinya. Salah satu solusi untuk mengatasi hal tersebut adalah dengan membuat suatu hardware yang mampu melakukan unjuk kerja yang sama seperti Spectrum Analyzer tetapi dengan harga yang relatif lebih murah. Prototype Spectrum Analyzer yang akan diimplementasikan merupakan suatu perangkat yang mampu menampilkan spektrum suatu sinyal pada range frekuensi tertentu. Rekayasa ini dilaksanakan dari bulan Juli sampai dengan Oktober 2020 di Kampus Polteknik Penerbangan Makassar dan ujicoba alat dengan alat pembanding dilaksanakan di Otban Wilayah V makassar. Teknik atau metode yang digunakan dalam pengumpulan data yaitu metode pustaka dengan cara mengumpulkan beberapa data tertulis baik dari buku, literatur, dan tutorial-tutorial di internet, sebagai bahan referensi kemudian menganalisa solusi yang dapat diambil dalam penyelesaian masalah. Dari hasil pengujian yang dilakukan dengan penggunaan RTL-SDR pada Single Board Computer (SBC) Raspberry pi dapat menampilkan spectrum frequensi baik itu dilakukan secara tunggal ataupun diterapan pada jaringan sehingga dapat digunakan sebagai media pembelajaran praktik teknologi wireless atau pun materi lain yang melakukan pengukuran frekuensi. Dari sergi performa kinerja trainer spectrum analyzer dengan pemanfaatan raspberry pisebagai perangkat untuk mengolah sinyal radio/ wireless cukup baik pada pemanfaatan dengan mode CLI (command line Interface) namun relatif lambat jika digunakan pada desktop sebagai alat portable spectrum analyzer yang dapat digunakan sebagai media pembelajaran

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Sabur, Fatmawati, and Ucok Sinaga. "Design Trainer Analysis Spectrum Analyzer Based on Raspberry Python and Register Transfer Level - Software Defined Radio." Airman: Jurnal Teknik dan Keselamatan Transportasi 3, no. 2 (February 4, 2021): 1–8. http://dx.doi.org/10.46509/ajtkt.v3i2.69.

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communication network. However, the high purchase price of a Spectrum Analyzer means that not everyone can afford it. One solution to overcome this problem is to make a piece of hardware capable of performing the same performance as a Spectrum Analyzer but at a relatively cheaper price. Prototype Spectrum Analyzer to be implemented is a device capable of displaying the spectrum of a signal in a certain frequency range. This engineering was carried out from July to October 2020 at the Makassar Aviation Polytechnic Campus and testing tools with a comparison tool was carried out at Otban Region V Makassar. The technique or method used in data collection is the library method by collecting some written data from books, literature, and tutorials on the internet, as reference material and then analyzing solutions that can be taken in solving problems. From the results of tests carried out by using RTL-SDR on the Single Board Computer (SBC), Raspberry pi can display the frequency spectrum whether it is done singly or applied to the network so that it can be used as a learning medium for wireless technology practice or other materials that measure frequency From sergi, the performance of the trainer spectrum analyzer with the use of raspberry pi as a device for processing radio / wireless signals is quite good at utilization with CLI mode (command line interface) but is relatively slow when used on the desktop as a portable spectrum analyzer that can be used as a learning medium

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32

Худов, Г. В., О. С. Дьяконов, П. Є. Минко, Ю. С. Соломоненко, В. П. Марченко, and К. А. Тахьян. "Порушення в роботі транспондерів ADS-B при визначенні координат повітряних об’єктів." Збірник наукових праць Харківського національного університету Повітряних Сил, no. 4(70) (November 25, 2021): 62–69. http://dx.doi.org/10.30748/zhups.2021.70.09.

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Предметом статті є процес виявлення порушень в роботі транспондерів ADS-B при визначенні координат повітряних об’єктів. Метою є підвищення точності визначення координат повітряних об’єктів за рахунок своєчасного виявлення та усунення порушень в роботі транспондерів ADS-B при визначенні координат повітряних об’єктів. Завдання: аналіз відомих методів підвищення точності координат повітряних об’єктів при контролю повітряного простору та ведення радіолокаційної розвідки; навести приклад використання інформації від транспондерів ADS-B; проаналізувати склад пакетів ADS-B; провести експериментальні дослідження щодо виявлення можливих порушень та збоїв транспондерів ADS-B. Отримані такі результати. Встановлено, що у теперішній час для підвищення точності визначення координат повітряних об’єктів активно використовується автоматичне залежне спостереження – радіомовне. Проаналізовані відомі методи підвищення точності визначення координат повітряних об’єктів. Встановлено, що основними недоліками таких методів є використання морально застарілих технологій, невідповідність точності визначення координат повітряних об’єктів вимогам та стандартам безпеки повітряного руху тощо. Наведений приклад використання інформації від транспондерів ADS-B. Інформація отримана з використанням RTL-SDR приймача. Проаналізовано склад пакетів ADS-B. Встановлено, що існує можливість перерахунку контрольної суми Parity Information. В результаті цього отримується валідний ADS-B пакет. Другий тип вразливостей пов’язаний з відсутністю механізмів для міцного криптографічного підпису. Це може привести до посилання в ефір підроблених даних або підміни інформації в пакетах. Третій вид вразливості пов’язаний з відсутністю криптування на пакетному рівні. Розглянуті різні сценарії атак на ADS-B. Проведені експериментальні дослідження щодо виявлення можливих порушень та збоїв транспондерів ADS-B. Для проведення експериментів використовувався приймач FlightAware Piaware та програмне забезпечення PiAware від FlightAware. Проілюстровано значні помилки у визначенні координат повітряних об’єктів. Встановлено, що при проведенні експерименту основною причиною помилок у визначенні координат ПО є навігаційний модуль, який є частиною транспондеру ADS-B. В подальших дослідженнях пропонується розробити рекомендацій щодо протидії порушенням в роботі транспондерів та приймачів ADS-B.

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Sohibi, Maulana, Denny Dermawan, and Lasmadi Lasmadi. "Rancang Bangun Receiver menggunakan Antena 1090 MHz dan Low Noise Amplifier untuk Menambah Jarak Jangkau Penerimaan Sinyal dan Data Parameter Target ADS-B berbasis RTL820T2." AVITEC 2, no. 2 (August 31, 2020). http://dx.doi.org/10.28989/avitec.v2i2.765.

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Radar technology at several airports is still using flightradar24 as a source of information, and building an ADS-B station is expensive. However, the flightradar24 has several weaknesses, among which is that if the user wants to display more information, the user is required to pay periodically or subscriptions, and there is delay due to the process of data that requires the Internet connection. With a concept of receiver ads-b based RTL-SDR R820T2, a low cost receiver ads-b with the results can receive an ads-b signal without delay and can receive data from an airplane. But there is a weakness in rtl-b receivers based RTL-SDR R820T2, because it doesn't explain and can't know how far the receiver can receive signals and target parameters data from the aircraft. Thus on this research a receiver ads-b using RTL-SDR R820T2, with a low-noise amplification and an ads-b antenna 1090 MHZ in the hopes of knowing how far the aircraft's target range is from the receiver and knowing how far the receiver's range of data signals the target parameters. By performing some step-by-step testing of the design. The designed receiver ads-b USES low noise amplification with an ads-b antenna 1090 MHZ capable of receiving data and target parameters ads-b for 284 km on adsbSCOP software range and 287.63 km mathematically.

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34

Jahnavi. S, Pooja. C. B, Santro Leeona FM, and Vijayageetha. R. "Implementation of Wide Band FM Receiver on RTL-SDR." International Journal of Engineering Research and V5, no. 05 (May 21, 2016). http://dx.doi.org/10.17577/ijertv5is050707.

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35

Podmarev, A. A., E. S. Ustinovich, and N. A. Kudryavtsev. "Experimental studies of multichannel reception of radio signals based on RTL-SDR." Science Intensive Technologies 1 (2022). http://dx.doi.org/10.18127/j19998465-202201-03.

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36

Oliveira, F. P., H. S. Amorim, and C. P. Dereczynski. "Investigando a atmosfera com dados obtidos por radiossondas." Revista Brasileira de Ensino de Física 40, no. 3 (February 19, 2018). http://dx.doi.org/10.1590/1806-9126-rbef-2017-0352.

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Resumo Neste trabalho apresentamos uma proposta de investigação do comportamento da pressão atmosférica e da temperatura do ar com a altitude, utilizando dados de uma radiossonda lançada por uma Estação Meteorológica de Altitude (EMA). Radiossondas, sensores atmosféricos transportados por balões, são lançados diariamente para medir dados de pressão, temperatura, umidade do ar e vento em diversos níveis da atmosfera. Nesta atividade o professor tem oportunidade de discutir com os alunos vários aspectos do comportamento da atmosfera em altitude. Apresentamos dois exemplos de aplicação utilizando dados de uma radiossonda lançada na EMA do Galeão (Rio de Janeiro). Tais dados podem ser coletados através de um rádio definido por software (RTL-SDR), de fácil aquisição e configuração, ou através de sítios de meteorologia de acesso livre.

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