Journal articles on the topic 'Automatic Dependent Surveillance'

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1

Besada, Juan A., Gonzalo de Miguel, Ana M. Bernardos, and José R. Casar. "Automatic-dependent surveillance–broadcast experimental deployment using system wide information management." International Journal of Microwave and Wireless Technologies 4, no. 2 (April 2012): 187–98. http://dx.doi.org/10.1017/s1759078712000232.

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This paper describes an automatic-dependent surveillance–broadcast (ADS–B) implementation for air-to-air and ground-based experimental surveillance within a prototype of a fully automated air traffic management (ATM) system, under a trajectory-based-operations paradigm. The system is built using an air-inclusive implementation of system wide information management (SWIM). This work describes the relations between airborne and ground surveillance (SURGND), the prototype surveillance systems, and their algorithms. System's performance is analyzed with simulated and real data. Results show that the proposed ADS–B implementation can fulfill the most demanding surveillance accuracy requirements.
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2

SHIOMI, Kakuichi. "A Study on Automatic Dependent Surveillance System." Journal of Japan Institute of Navigation 92 (1995): 113–21. http://dx.doi.org/10.9749/jin.92.113.

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3

Hammer, Jonathan. "Foreword: Aircraft Surveillance Applications of Automatic Dependent Surveillance Broadcast (ADS-B)." Air Traffic Control Quarterly 11, no. 3 (July 2003): 157–58. http://dx.doi.org/10.2514/atcq.11.3.157.

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4

de Leege, A. M. P., M. M. van Paassen, and M. Mulder. "Using Automatic Dependent Surveillance-Broadcast for Meteorological Monitoring." Journal of Aircraft 50, no. 1 (January 2013): 249–61. http://dx.doi.org/10.2514/1.c031901.

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5

FUJITA, Masato. "11611 Automatic Dependent Surveillance (ADS-C) Data Analysis." Proceedings of Conference of Kanto Branch 2007.13 (2007): 193–94. http://dx.doi.org/10.1299/jsmekanto.2007.13.193.

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6

Lande, K. "Modified Automatic Dependent Surveillance System (M-ADS) For North Sea Helicopters." Journal of Navigation 51, no. 3 (September 1998): 304–11. http://dx.doi.org/10.1017/s0373463398007887.

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The helicopter traffic over the North Sea is performed in uncontrolled airspace over international waters. The lack of radar coverage makes the establishment of controlled airspace difficult. The development of Automatic Dependent Surveillance (ADS) and use of satellite technology for Navigation, Communication and Surveillance (NCS) have made it possible to evaluate Modified Automatic Dependent Surveillance (M-ADS) as a basis for establishing controlled airspace over remote areas without radar coverage.
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7

SUMIYA, Yasuto, and Akira ISHIDE. "Analysis of Self-synchronized Automatic Dependent Surveillance using Satellite." Journal of Japan Institute of Navigation 118 (2008): 185–93. http://dx.doi.org/10.9749/jin.118.185.

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8

Nurhayati, Yati, and Susanti Susanti. "Implementasi Automatic Dependent Surveillance Broadcast (ADS-B) di Indonesia." WARTA ARDHIA 40, no. 3 (September 30, 2014): 147–62. http://dx.doi.org/10.25104/wa.v40i3.128.147-162.

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Teknlologi ADSB is a new technology in the observation plane which is a combination of global positioning system (GPS), so that the aircraft can be traced to the position, velocity, wind direction, and altitude. This tool can be installed in the aircraft or ground stations and more superior than the radar.ADS-B is indeed a revolutionary look, start with only the antenna and the tool less than for a small refrigerator can detect aircraft and air traffic displays.Automatic Dependent Surveillance- Broadcast (ADS-B) is a detection technology where each plane passing owned transponder emits every two times per second information altitude, position, speed, direction, and other information to ground stations and other aircraft. This information is obtained from the information the Global Positioning System (GPS) or backup Flight Management System (FMS) in each plane. Teknlologi ADSB adalah teknologi baru dalam pengamatan pesawat terbang yang merupakan kombinasi global positioning system (GPS), sehingga pesawat bisa terlacak posisi, kecepatan, arah angin, dan ketinggian. Alat ini bisa dipasang di pesawat atau stasiun darat dan lebih unggul dari radar. ADS-B ini memang terlihat revolusioner, dengan hanya berbekal antenna dan alat kurang dari sebesar lemari es kecil dapat mendeteksi pesawat terbang dan menampilkan lalu lintas udara.Automatic Dependent Surveillance- Broadcast (ADS-B) adalah teknologi pendeteksi dimana setiap pesawat lewat transponder yang dimiliki memancarkan setiap dua kali dalam tiap detik informasi ketinggian, posisi, kecepatan, arah, dan informasi lainnya ke stasiun darat dan pesawat lainnya. Informasi ini didapat dari informasi Global Positioning System (GPS) atau backup Flight Management System (FMS) yang ada di pesawat masing-masing.
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9

Sitorus, Budi, and Tulus Irfan Harsono Sitorus. "PENGEMBANGAN AUTOMATIC DEPENDENT SURVEILLANCE – BROADCAST UNTUK PENINGKATAN KESELAMATAN PENERBANGAN." Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG) 4, no. 3 (January 31, 2018): 303. http://dx.doi.org/10.54324/j.mtl.v4i3.69.

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The purpose of this study is to conduct a review of the existing navigation system at the airport and integrate to the flight navigation system that has been developed by the Ministry of Research and Technology to be applied to Airports in Indonesia. The research method used is qualitative research method through literature study, literature, benchmarking. Automatic Dependent Surveillance Broadcast (ADS-B) is a system designed to replace radar functions in air space management for civilian transport, can serve as a substitute or for traditional radar-based aircraft surveillance supplements. The use of ADS-B was recommended by the International Civil Aviation Organization (ICAO) in May 2006. Using ADS-B, detection would be better and more accurate than when using a radar system where existing radar systems can not detect unobstructed aircraft . The use of the ADS-B system in Indonesia began in 2006, in partnership with SITA and Thales. In this regard, Indonesia has 30 (thirty) earth stations ready for operation. In general, both flight monitoring systems are very helpful for APP operators (Approach and departure control) in terms of providing a picture of flight traffic conditions around the airport.
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10

Wang, N., D. Delahaye, A. Gondran, and M. Mongeau. "Automatic Dependent Surveillance-Broadcast Ground-Station Optimal Deployment Problem." Journal of Air Transportation 26, no. 3 (July 2018): 104–12. http://dx.doi.org/10.2514/1.d0088.

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11

MASSOGLIA, PETER L. "Automatic Dependent Surveillance for Oceanic Air Traffic Control Applications." Navigation 35, no. 4 (December 1988): 397–406. http://dx.doi.org/10.1002/j.2161-4296.1988.tb00968.x.

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12

Kalintsev, Andrey S., and Evgeny A. Rubtsov. "METHOD OF DETECTING FALSE INTENTIONALLY GENERATED ADS-B SIGNALS." T-Comm 14, no. 11 (2020): 4–13. http://dx.doi.org/10.36724/2072-8735-2020-14-11-4-13.

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The International Civil Aviation Organization recommends to use advanced surveillance systems: multi-sensor surveillance system and automatic dependent surveillance broadcast. Ground stations for automatic dependent surveillance have a relatively low cost and can partially replace secondary surveillance radars in the future. Currently, the development of automatic dependent surveillance has slowed down, because the system has vulnerabilities: the complete openness of the 1090ES data link, the lack of encryption and protection against false intentionally generated signals. There are a large number of equipment on the market for receiving and processing on-board transponder signals; for specialists it's not difficult to assemble transmitting equipment that generates such signals. This poses a serious threat to information security and flight safety. The article proposes a method that allows, through a comprehensive analysis of the aircraft trajectory and the nature of the level of received signals, identify false signals generated intentionally. The proposed technique is based on identification of abnormal characteristics of false signals. To search and identify anomalous characteristics, the Mahalanobis distance is estimated. To increase the distinguishability of data and to detect intentional interference, it is necessary to modernize the antenna system of the ground station by introducing an additional antenna with a different radiation pattern. The false signal generated by the ground source is detected by a constant value of the antenna directivity ratio. The developed technique was implemented in the MATLAB software and applied to evaluate real data received from the ground-based automatic dependent surveillance station located in the Arkhangelsk air traffic management center. The power levels of the received messages of automatic dependent observation received from L-410 aircraft operating in the area of local air lines were used as reference values.
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13

Zhao, Wenhao, Miao Wang, Gang Xiao, and Guoqing Wang. "An enhanced situational awareness design for airborne surveillance based on Automatic Dependent Surveillance–Broadcast." Aerospace Systems 4, no. 2 (February 1, 2021): 109–18. http://dx.doi.org/10.1007/s42401-020-00081-8.

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14

Alghamdi, Fatimah, Amal Alshhrani, and Nermin Hamza. "Effective Security Techniques for Automatic Dependent Surveillance-Broadcast (ADS-B)." International Journal of Computer Applications 180, no. 26 (March 19, 2018): 23–28. http://dx.doi.org/10.5120/ijca2018916598.

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15

Coote, Malcolm A., George W. Schraw, and Robert W. Schwab. "Oceanic Requirements and Benefits Modeling for Automatic Dependent Surveillance (ADS)." Air Traffic Control Quarterly 1, no. 1 (January 1993): 31–57. http://dx.doi.org/10.2514/atcq.1.1.31.

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16

Nguyen, A. Q., A. Amrhar, J. Zambrano, G. Brown, R. Landry, and O. Yeste. "Application of Phase Modulation Enabling Secure Automatic Dependent Surveillance-Broadcast." Journal of Air Transportation 26, no. 4 (October 2018): 157–70. http://dx.doi.org/10.2514/1.d0111.

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17

de Leege, A. M. P., M. Mulder, and M. M. van Paassen. "Novel Method for Wind Estimation Using Automatic Dependent Surveillance-Broadcast." Journal of Guidance, Control, and Dynamics 35, no. 2 (March 2012): 648–53. http://dx.doi.org/10.2514/1.55833.

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18

Yan, Sen, Xusheng Wang, Ye Hu, and Guy A. E. Vandenbosch. "Low‐profile omnidirectional antenna for automatic dependent surveillance – broadcast applications." Electronics Letters 51, no. 22 (October 2015): 1732–34. http://dx.doi.org/10.1049/el.2015.2381.

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19

Cho, Taehwan, Kanghee Kim, Jinhyuk Kim, and Sangbang Choi. "Design and Implementation of Automatic Dependent Surveillance - Broadcast Server System." Journal of Korea Navigation Institute 19, no. 3 (June 30, 2015): 182–91. http://dx.doi.org/10.12673/jant.2015.19.3.182.

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20

Strohmeier, Martin, Vincent Lenders, and Ivan Martinovic. "On the Security of the Automatic Dependent Surveillance-Broadcast Protocol." IEEE Communications Surveys & Tutorials 17, no. 2 (2015): 1066–87. http://dx.doi.org/10.1109/comst.2014.2365951.

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21

Ishide, Akira, Mitsuhiro Fujita, Kenji Niimi, Fumitaka Matsuzaki, and Kiyoshi Yukawa. "Development of experimental automatic dependent surveillance system and inflight performances." Electronics and Communications in Japan (Part I: Communications) 79, no. 4 (1996): 35–45. http://dx.doi.org/10.1002/ecja.4410790404.

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22

Ajhari, Abdul Azzam, and I. Gede Putra Kusuma Negara. "Aircraft Flight Movement Anomaly Detection using Automatic Dependent Surveillance-Broadcast." JOIV : International Journal on Informatics Visualization 6, no. 4 (December 31, 2022): 821. http://dx.doi.org/10.30630/joiv.6.4.948.

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Automatic Dependent Surveillance-Broadcast (ADS-B) is an aircraft backup radar device that transmits aircraft sensor information via radio frequency. This data can be used to detect aircraft changes that occur significantly or abnormally (anomaly). Anomaly detection in this study aims to reduce and prevent flight accidents by analyzing abnormal data on aircraft flights using the Deep Learning (DL) model. Bidirectional LSTM (Bi-LSTM) and Bidirectional GRU (Bi-GRU) models are proposed as DL models which are implemented on ADS-B data using data mining methods. The data is generated from the ADS-B device that records the plane crash incident and is stored on the Flightradar24 community server. Data containing sensor changes from anomalous aircraft movements are studied for predictability on other flight data. The class breakdown is divided into two, anomaly and normal, based on information on the time span of anomaly occurrences in the accident investigation report of each aircraft using the sliding window technique in the data mining methodology. In evaluation, the confusion matrix measurement method is used to predict predictive analysis of the tested data. The results of the model evaluation performance show that the Bi-LSTM proposed in this study has the best accuracy of 99.44% and the f1-score of 99.51% is slightly superior to the Bi-GRU model. The model in this study can be applied in the ADS-B device to detect aircraft movement anomalies and as material for reviewing technicians in periodic maintenance and measuring the accuracy of the ADS-B device used as a backup radar.
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23

Xiang, Zheng, Wei Jun Pan, and Jun Luo. "Application of Automatic Dependent Surveillance-Broadcast in the Training for Air Traffic Controller." Applied Mechanics and Materials 209-211 (October 2012): 775–78. http://dx.doi.org/10.4028/www.scientific.net/amm.209-211.775.

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The application of Automatic Dependent Surveillance-Broadcast (ADS-B) in the training for air traffic controller is investigated in the presented work. ADS-B is a surveillance technology for tracking aircraft as part of the Next Generation Air Transportation System (NextGen). Compared to radar, ADS-B system has many advantages such as lower deployment cost, higher accuracy and more frequently update. As surveillance method transits from radar surveillance to ADS-B surveillance, the training for air traffic controller should incorporate ADS-B system correspondingly. In the presented work, the features of ADS-B are introduced as well as the structure of ADS-B system is illustrated, and a novel framework for training air traffic controller with ADS-B system is proposed. It is seen that air traffic controller can be trained with lower cost, shorter period and more flexibility compared to that with radar surveillance.
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24

ISHIDE, Akira. "Extrapolation Error of α-β Tracker for Automatic Dependent Surveillance (ADS)." Journal of Japan Institute of Navigation 111 (2004): 119–26. http://dx.doi.org/10.9749/jin.111.119.

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25

ISHIDE, Akira, and Yasuto SUMIYA. "Effect of Transmission Delay on Extrapolation Error in Automatic Dependent Surveillance." Journal of Japan Institute of Navigation 116 (2007): 167–74. http://dx.doi.org/10.9749/jin.116.167.

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26

Wu, Zhijun, Tong Shang, and Anxin Guo. "Security Issues in Automatic Dependent Surveillance - Broadcast (ADS-B): A Survey." IEEE Access 8 (2020): 122147–67. http://dx.doi.org/10.1109/access.2020.3007182.

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27

Rahman, Ab Al-Hadi Ab, Liew Mei Fang, Ahmad Zuri Shameri, and Ab Rahman Ahmad. "Development of an Automatic Dependent Surveillance Broadcast Modem Using Dataflow Specifications." Advanced Science Letters 23, no. 6 (June 1, 2017): 5173–77. http://dx.doi.org/10.1166/asl.2017.7335.

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28

Li, Yang, Jianhua Zhang, Xueli Wu, Jianan Huo, and Zhuo Xu. "Development of aircraft path planning scheme through automatic dependent surveillance broadcast." International Journal of Computer Applications in Technology 58, no. 1 (2018): 55. http://dx.doi.org/10.1504/ijcat.2018.094059.

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29

Huo, Jianan, Zhuo Xu, Xueli Wu, Jianhua Zhang, and Yang Li. "Development of aircraft path planning scheme through automatic dependent surveillance broadcast." International Journal of Computer Applications in Technology 58, no. 1 (2018): 55. http://dx.doi.org/10.1504/ijcat.2018.10015260.

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30

Mao, Yi, Yi Yang, and Yuxin Hu. "Research into a Multi-Variate Surveillance Data Fusion Processing Algorithm." Sensors 19, no. 22 (November 15, 2019): 4975. http://dx.doi.org/10.3390/s19224975.

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Targeted information sources include radar and ADS (Automatic Dependent Surveillance) for civil ATM (Air Traffic Management) systems, and the new navigation system based on satellites has the capability of global coverage. In order to solve the surveillance problem in mid-and-high altitude airspace and approaching airspace, this paper proposes a filter-based covariance matrix weighting method, measurement variance weighting method, and measurement-first weighted fusion method weighting integration algorithm to improve the efficiency of data integration calculation under fixed accuracy. Besides this, this paper focuses on the technology of the integration of a multi-radar surveillance system and automated related surveillance system in the ATM system and analyzes the constructional method of a multigeneration surveillance data integration system, as well as establishing the targeted model of sensors and the target track and designing the logical structure of multi-radar and ADS data integration.
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31

SUMIYA, Yasuto, and Akira ISHIDE. "Extrapolation Error for Automatic Dependent Surveillance by Ground Speed and Track Angle." Journal of Japan Institute of Navigation 113 (2005): 99–106. http://dx.doi.org/10.9749/jin.113.99.

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32

Silva, Sathya S., Luke Jensen, and Robert J. Hansman. "Safety Benefit of Automatic Dependent Surveillance-Broadcast Traffic and Weather Uplink Services." Journal of Aerospace Information Systems 12, no. 8 (August 2015): 579–86. http://dx.doi.org/10.2514/1.i010364.

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33

Sun, Junzi, Joost Ellerbroek, and Jacco Hoekstra. "Flight Extraction and Phase Identification for Large Automatic Dependent Surveillance–Broadcast Datasets." Journal of Aerospace Information Systems 14, no. 10 (October 2017): 566–71. http://dx.doi.org/10.2514/1.i010520.

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34

You, He, Zhu Hongwei, and Tang Xiaoming. "Joint systematic error estimation algorithm for radar and automatic dependent surveillance broadcasting." IET Radar, Sonar & Navigation 7, no. 4 (April 2013): 361–70. http://dx.doi.org/10.1049/iet-rsn.2012.0199.

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35

Ali, Busyairah Syd, Washington Yotto Ochieng, and Rozaimah Zainudin. "An analysis and model for Automatic Dependent Surveillance Broadcast (ADS-B) continuity." GPS Solutions 21, no. 4 (August 11, 2017): 1841–54. http://dx.doi.org/10.1007/s10291-017-0657-y.

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36

Zhou, Kaixing, Xiucong Sun, Hai Huang, Xinsheng Wang, and Guangwei Ren. "Satellite single-axis attitude determination based on Automatic Dependent Surveillance - Broadcast signals." Acta Astronautica 139 (October 2017): 130–40. http://dx.doi.org/10.1016/j.actaastro.2017.05.038.

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37

Cho, Taehwan, Kanghee Kim, inhyuk Kim, and Sangbang Choi. "The Performance Enhancement of Automatic Dependent Surveillance - Broadcast Using Information Fusion Method." Journal of Korea Navigation Institute 19, no. 5 (October 30, 2015): 345–53. http://dx.doi.org/10.12673/jant.2015.19.5.345.

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38

Liu, Wen‐Chung, and Tzu‐Yi Tang. "High‐gain patch antenna for cubesat‐based automatic dependent surveillance‐broadcast application." Microwave and Optical Technology Letters 61, no. 1 (November 22, 2018): 187–90. http://dx.doi.org/10.1002/mop.31518.

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39

Ali, Busyairah Syd, Washington Yotto Ochieng, and Arnab Majumdar. "ADS-B: Probabilistic Safety Assessment." Journal of Navigation 70, no. 4 (March 13, 2017): 887–906. http://dx.doi.org/10.1017/s0373463317000054.

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In the effort to quantify Automatic Dependent Surveillance Broadcast (ADS-B) system safety, the authors have identified potential ADS-B failure modes in Syd Ali et al. (2014). Based on the findings, six potential hazards of ADS-B are identified in this paper. The authors then applied the Probabilistic Safety Assessment approach which includes Fault Tree Analysis (FTA) and Importance Analysis methods to quantify the system safety. FTA is applied to measure ADS-B system availability for each identified hazard while Importance Analysis is conducted to identify the most significant failure modes that may lead to the occurrence of the hazards. In addition, risk significance and safety significance of each failure mode are also identified. The result shows that the availability for the ADS-B system as a sole surveillance means is low at 0·898 in comparison to the availability of ADS-B system as supplemental or as primary means of surveillance at 0·95 and 0·999 respectively. The latter availability values are obtained from Minimum Aviation System Performance Standards (MASPS) for Automatic Dependent Surveillance-Broadcast (DO-242A).
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40

Xu, Ya Jun. "Study on Data Fusion Algorithm of TCAS/ADS-B Integrated Surveillance System Based on the Present Statistical Model." Applied Mechanics and Materials 427-429 (September 2013): 1311–14. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.1311.

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The difference between Traffic Alert and Collision Avoidance System and Automatic Dependent Surveillance Broadcast surveillance principle was compared. A TCAS/ ADS-B integrated surveillance system based on the present statistical model was built. Using the data fusion algorithm, the optimal local track of TCAS and ADS-B ,as well as the optimal fused track of the integrated system were estimated. The simulation results show that the maximum optimal fused estimated position error is 100m, it is certificated that the integrated system can improve track estimates accuracy, improve the surveillance precision of TCAS.
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Ali, Busyairah Syd, Wolfgang Schuster, and Washington Yotto Ochieng. "Evaluation of the Capability of Automatic Dependent Surveillance Broadcast to Meet the Requirements of Future Airborne Surveillance Applications." Journal of Navigation 70, no. 1 (July 14, 2016): 49–66. http://dx.doi.org/10.1017/s0373463316000412.

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Automatic Dependent Surveillance Broadcast (ADS-B) Out supports various ground applications including Air Traffic Control (ATC) surveillance in radar airspace, non-radar airspace and on the airport surface. In addition, the capability of aircraft to receive ADS-B Out messages from other aircraft within their coverage (ADS-B In) enables enhanced airborne surveillance applications. The requirements of the application vary depending on its safety-criticality. More stringent applications will require higher levels of performance. It is therefore critical that the ADS-B system performance is measured against the most stringent application it is designed for. This paper reviews the various enhanced airborne surveillance applications and the required ADS-B information to support them. It identifies the ADS-B based applications required for Air Traffic Management (ATM) modernisation under the SESAR/NextGen programs. It discusses existing ADS-B Out versions and their capabilities. A mapping exercise is undertaken to assess the credibility of the ADS-B system performance to support the functionalities and requirements of the various enhanced airborne surveillance applications and establish those that require further research and development, highlighting some of the key challenges.
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KODO, Takahiro, Sakae NAGAOKA, Osamu AMAI, and Hideo NAKAMURA. "Models for the Along-Track Prediction Errors of an Automatic Dependent Surveillance System." Journal of Japan Institute of Navigation 110 (2004): 37–44. http://dx.doi.org/10.9749/jin.110.37.

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43

Azis, Abdul, and Rio Setiawan. "Rancangan Antena Penerima Automatic Dependent Surveillance Broadcast dengan Frekuensi 1090 Mhz Menggunakan RTL820T." AIRMAN: Jurnal Teknik dan Keselamatan Transportasi 2, no. 1 (June 25, 2019): 7–11. http://dx.doi.org/10.46509/ajtk.v2i1.82.

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Pembelajaran dan pengenalan alat navigasi ADS-B ini sangat penting untuk menambah wawasan bagi taruna(i) ATKP Makassar tentang bagaimana cara kerja dan tampilan ADS-B ini pada monitor. Tujuan perancangan ini adalah untuk menghasilkan rancangan yang dapat menampilkan ADS-B secara real sebagai media untuk menambah wawasan bahwa bukan hanya sekedar RADAR yang dapat memantau posisi pesawat tetapi ada peralatan lainnya yang dapat memantau posisi pesawat yang di sebut dengan ADS-B. Dimana perancangan ini dibuat menggunakan aplikasi RTL1090 dan Virtual Radar Server yang di install pada PC/Leptop dan juga menggunakan modul RTL820T berbentuk USB sebagai Receiver nya. Hasil dari rancangan ini adalah taruna dapat mempeljari tampilan ADS-B pada monitor PC/Leptop yang di sediakan di ruang kelas atau laboratorium walaupun tidak sesempurana aslinya tetapi rancangan ini menampilkan sistem pengawasan yang tidak jauh beda dengan yang aslinya.
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44

Subramani, Jegadeesan, Azees Maria, Ramesh Babu Neelakandan, and Arun Sekar Rajasekaran. "Efficient anonymous authentication scheme for automatic dependent surveillance‐broadcast system with batch verification." IET Communications 15, no. 9 (March 3, 2021): 1187–97. http://dx.doi.org/10.1049/cmu2.12152.

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45

Chen, Shiwen, Junjian Yuan, Xiaopeng Xing, and Xin Qin. "Research on emitter individual identification technology based on Automatic Dependent Surveillance–Broadcast signal." International Journal of Distributed Sensor Networks 17, no. 2 (February 2021): 155014772199262. http://dx.doi.org/10.1177/1550147721992626.

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Aiming at the shortcomings of the research on individual identification technology of emitters, which is primarily based on theoretical simulation and lack of verification equipment to conduct external field measurements, an emitter individual identification system based on Automatic Dependent Surveillance–Broadcast is designed. On one hand, the system completes the individual feature extraction of the signal preamble. On the other hand, it realizes decoding of the transmitter’s individual identity information and generates an individual recognition training data set, on which we can train the recognition network to achieve individual signal recognition. For the collected signals, six parameters were extracted as individual features. To reduce the feature dimensions, a Bessel curve fitting method is used for four of the features. The spatial distribution of the Bezier curve control points after fitting is taken as an individual feature. The processed features are classified with multiple classifiers, and the classification results are fused using the improved Dempster–Shafer evidence theory. Field measurements show that the average individual recognition accuracy of the system reaches 88.3%, which essentially meets the requirements.
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46

Ali, Busyairah Syd, Washington Yotto Ochieng, Wolfgang Schuster, Arnab Majumdar, and Thiam Kian Chiew. "A safety assessment framework for the Automatic Dependent Surveillance Broadcast (ADS-B) system." Safety Science 78 (October 2015): 91–100. http://dx.doi.org/10.1016/j.ssci.2015.04.011.

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47

Abdullah, Abdullah Irfan, Ahmad Fadzil Ismail, Khairayu Badron, and NurEmileenAbd Rashid. "Improving Radar Detection by Adaptation of Automatic Dependent Surveillance-Broadcast (ADS-B) Technology." Advanced Science Letters 22, no. 10 (October 1, 2016): 2860–64. http://dx.doi.org/10.1166/asl.2016.7128.

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48

Ali, Busyairah Syd. "System specifications for developing an Automatic Dependent Surveillance-Broadcast (ADS-B) monitoring system." International Journal of Critical Infrastructure Protection 15 (December 2016): 40–46. http://dx.doi.org/10.1016/j.ijcip.2016.06.004.

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49

Azis, Abdul, and Rio Setiawan. "RANCANGAN ANTENA PENERIMA AUTOMATIC DEPENDENT SURVEILLANCE BROADCAST DENGAN FREKUENSI 1090 MHz MENGGUANAKAN RTL820T." AIRMAN: Jurnal Teknik dan Keselamatan Transportasi 1, no. 2 (June 15, 2019): 6–11. http://dx.doi.org/10.46509/ajtkt.v1i2.14.

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Abstract:
Pembelajaran dan pengenalan alat navigasi ADS-B ini sangat penting untuk menambah wawasan bagi taruna(i) ATKP Makassar tentang bagaimana cara kerja dan tampilan ADS-B ini pada monitor. Tujuan perancangan ini adalah untuk menghasilkan rancangan yang dapat menampilkan ADS-B secara real sebagai media untuk menambah wawasan bahwa bukan hanya sekedar RADAR yang dapat memantau posisi pesawat tetapi ada peralatan lainnya yang dapat memantau posisi pesawat yang di sebut dengan ADS-B. Dimana perancangan ini dibuat menggunakan aplikasi RTL1090 dan Virtual Radar Server yang di install pada PC/Leptop dan juga menggunakan modul RTL820T berbentuk USB sebagai Receiver nya. Hasil dari rancangan ini adalah taruna dapat mempeljari tampilan ADS-B pada monitor PC/Leptop yang di sediakan di ruang kelas atau laboratorium walaupun tidak sesempurana aslinya tetapi rancangan ini menampilkan sistem pengawasan yang tidak jauh beda dengan yang aslinya
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50

Weinert, Andrew, Marc Brittain, and Randal Guendel. "Frequency of ADS-B Equipped Manned Aircraft Observed by the OpenSky Network." Proceedings 59, no. 1 (December 8, 2020): 15. http://dx.doi.org/10.3390/proceedings2020059015.

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Abstract:
To support integration of unmanned aerial systems into the airspace, the low altitude airspace needs to be characterized. Identifying the frequency of different aircraft types, such as rotorcraft or fixed wing single engine, given criteria such as altitude, airspace class, or quantity of seats can inform surveillance requirements, flight test campaigns, or simulation safety thresholds for detect and avoid systems. We leveraged observations of Automatic Dependent Surveillance-Broadcast (ADS-B) equipped aircraft by the OpenSky Network for this characterization.
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