Realities and challenges of nextgen air traffic management: the case of ADS-B

Strohmeier, Martin; Schäfer, Matthias; Lenders, Vincent; Martinovic, Ivan

doi:10.1109/mcom.2014.6815901

Cited by 250 publications

(136 citation statements)

References 8 publications

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“…Fig. 11 represents the achievable GDOP profiles for the optimal selection of k ′ ∈ k sensor nodes, based on minimization of (19). The contour plots display the simulated GDOP that is achieved through the selection of k ′ = 4 selected sensor nodes within k = 10 sensor nodes for the latest estimated aircraft location.…”

Section: B Simulation Resultsmentioning

confidence: 99%

“…Fig. 11 represents GDOP profiles for 4 iterations of minimization within (19), GDOP profile IV represents the most optimal configuration or selection of k ′ = 4 sensors. This GDOP profile selection for the current estimate of aircraft position, allows minimum dilution of precision and hence provides highly accurate AOA-TDOA-FDOA based geolocation estimate, in-spite of the fact that the ADS-B message within the signal is corrupted.…”

Section: B Simulation Resultsmentioning

confidence: 99%

“…More recent works like [19] have highlighted the necessity of addition of more resilient mechanisms in addition to ADS-B based geolocation. The main focus of our work is based on improving the current ATG set-up for transcontinental flights by introducing a novel WAMLAT architecture for optimal sensor selection based on Geometric Dilution of Precision (GDOP) minimization, which not only alleviates the current ADS-B message infringement threats but also allows accurate geolocation even though the integrity of the ADS-B message is compromised.…”

Section: Key Motivation For the Proposed Approachmentioning

confidence: 99%

“…Using standard KF as shown in [28], [29] estimate the track for the aircraft trajectory. 6: repeat 7: Evaluate (19) for the most optimum k ′ sensor nodes among k sensors. 8: until GDOP minimization for current aircraft position estimate 9: Relay the computed tracking information to the ATG base station to enable adaptive modulation and beamforming as shown in Section IV.…”

mentioning

confidence: 99%

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Adaptive Air-to-Ground Secure Communication System Based on ADS-B and Wide-Area Multilateration

Nijsure

Kaddoum

Gagnon

et al. 2016

IEEE Trans. Veh. Technol.

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A novel Air-to-Ground (ATG) communication system, based on adaptive modulation and beamforming enabled by Automatic Dependent Surveillance-Broadcast (ADS-B) and multilateration technique is presented in this work. From an aircraft geolocation perspective, the proposed multilateration technique uses the Time-Difference-of-Arrival (TDOA), Angleof-Arrival (AOA), and Frequency-Difference-of-Arrival (FDOA) features within the ADS-B signal to implement the hybrid geolocation mechanism. Moreover, this hybrid mechanism aims at the optimal selection of multilateration sensors to provide a precise aircraft geolocation estimate by minimizing the Geometric Dilution of Precision (GDOP) metric and also imparts significant resilience to the current ADS-B based geolocation framework to withstand any form of attack involving aircraft-impersonation and ADS-B message infringement. From an ATG communication perspective, the ground Base Stations (BSs) can use this hybrid aircraft geolocation estimate to dynamically adapt their modulation parameters and transmission beampattern, in an effortto provide a high data rate secure ATG communication link. Additionally, we develop a hardware prototype which is highly accurate in estimating the AOA data and facilitating TDOA, FDOA extraction associated with the received ADS-B signal. This hardware setup for the ADS-B based ATG system is analytically established and validated with commercially available universalsoftware-defined-radio-peripheral (USRP) units. This hardware setup displays a 1.5 • AOA estimation accuracy, whereas the simulated geolocation accuracy is approximately 30 m over 100 nautical miles for a typical aircraft trajectory. The adaptive modulation and beamforming approach assisted by the proposed GDOP minimization based multilateration strategy achieves significant enhancement in throughput and reduction in packet error rate.

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Section: B Simulation Resultsmentioning

confidence: 99%

Section: B Simulation Resultsmentioning

confidence: 99%

Section: Key Motivation For the Proposed Approachmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Adaptive Air-to-Ground Secure Communication System Based on ADS-B and Wide-Area Multilateration

Nijsure

Kaddoum

Gagnon

et al. 2016

IEEE Trans. Veh. Technol.

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“…Since these mechanisms rely upon open and un-encrypted transmission signals, they are invariably prone to spoofing and other message infringement forms of attacks [15]. Other approaches include, segregated or designated airspace for UAS operations, traditional visual see and avoid based on optical sensors [8]- [10], cooperative separation assurance strategy that could be based on a communications link between multiple UAV systems, and ground based radar surveillance [11].…”

Section: Introductionmentioning

confidence: 99%

Cognitive Chaotic UWB-MIMO Detect-Avoid Radar for Autonomous UAV Navigation

Nijsure

Kaddoum

Mallat

et al. 2016

IEEE Trans. Intell. Transport. Syst.

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Abstract-A cognitive detect and avoid radar system based on chaotic UWB-MIMO waveform design to enable autonomous UAV navigation is presented. A Dirichlet-Process-Mixture-Model (DPMM) based Bayesian clustering approach to discriminate extended targets and a Change-Point (CP) detection algorithm are applied for the autonomous tracking and identification of potential collision threats. A DPMM based clustering mechanism does not rely upon any a priori target scene assumptions and facilitates online multivariate data clustering/classification for an arbitrary number of targets. Furthermore, this radar system utilizes a cognitive mechanism to select efficient c haotic waveforms to facilitate enhanced target detection and discrimination. We formulate the CP mechanism for the online tracking of target trajectories which present a collision threat to the UAV navigation and thus we supplement the conventional Kalman filter based tracking. Simulation results demonstrate a significant performance improvement for the DPMM-CP assisted detection as compared with direct generalized likelihood ratio based detection. Specifically, w e o bserve a 4 d B p erformance g ain i n target detection over conventional fixed U WB w aveforms a nd superior collision avoidance capability offered by the joint DPMM-CP mechanism.

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When UAVs coexist with manned airplanes: Large‐scale aerial network management using ADS‐B

Pan

et al. 2019

Trans Emerging Tel Tech

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Increasing attention has been paid to employing the Automatic Dependent Surveillance‐Broadcast (ADS‐B) technology on unmanned area vehicles (UAVs). The critical challenge therefore emerges, ie, how to effectively schedule the UAVs without interfering the communication. An UAV management framework named uFly is proposed to address this challenge by controlling the total ADS‐B communication traffic over the air. The ADS‐B's interference probability is first modeled. Based on this model, the UAVs' ADS‐B traffic (as well as the number of flying UAVs) should match the manned airplanes' signals. By taking the manned airplanes' signals as the first‐class constraint, uFly then dynamically approves or denies UAVs for flight based on the real‐time number of airplanes. Finally, experiments using different data sets are conducted to verify the superior performance of uFly.

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Realities and challenges of nextgen air traffic management: the case of ADS-B

Cited by 250 publications

References 8 publications

Adaptive Air-to-Ground Secure Communication System Based on ADS-B and Wide-Area Multilateration

Adaptive Air-to-Ground Secure Communication System Based on ADS-B and Wide-Area Multilateration

Cognitive Chaotic UWB-MIMO Detect-Avoid Radar for Autonomous UAV Navigation

When UAVs coexist with manned airplanes: Large‐scale aerial network management using ADS‐B

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