Ambiguity Function Analysis for OFDM-Based LDACS Passive Multistatic Radar

Filip, Alexandra; Shutin, Dmitriy

doi:10.1109/taes.2017.2780678

Cited by 10 publications

(4 citation statements)

References 29 publications

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“…LDACS has the potential to be developed into an integrated CNS system, as it does not only support communications, but can also enable navigation with a built-in ranging functionality [22] and might be used for non-cooperative surveillance applications [23]. Moreover, an air-to-air mode of LDACS is being researched on with the goal of extending LDACS coverage to the airspace that cannot be directly covered by ground stations [24], [25].…”

Section: Ldacs Backgroundmentioning

confidence: 99%

LDACS Flight Trials: Demonstration and Performance Analysis of the Future Aeronautical Communications System

Bellido-Manganell

Gräupl

Heirich

et al. 2022

IEEE Trans. Aerosp. Electron. Syst.

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The L-band Digital Aeronautical Communications System (LDACS) is a key enabler of the new air traffic services and operational concepts necessary for the modernization of the air traffic management (ATM). After its initial design, compatibility tests with legacy L-band systems, and functional demonstrations in the laboratory, the system is currently undergoing the standardization process of the International Civil Aviation Organization (ICAO). However, LDACS has not been demonstrated in flight yet. In this paper, we present the first in-flight demonstration of LDACS, which took place in March and April 2019 in southern Germany and included four LDACS ground stations and one LDACS airborne station. We detail the experimental setup of the implemented LDACS ground and airborne stations together with the flight routes, the conducted experiments, and the frequency planning to ensure compatibility with legacy systems. In addition, we describe the demonstrated ATM applications and the security measures used to protect them. Based on the obtained measurement results, we evaluate the LDACS in-flight communication performance for the first time, including the achieved communication range, the measured end-to-end message latency, and the LDACS capability to provide quality of service by effectively prioritizing safety-relevant data traffic. Furthermore, we use the in-flight received signal power to assess the applicability of a theoretical path loss model. These flight trials contribute to the final steps in the development of LDACS by providing its in-flight communication performance and by demonstrating: first, its correct functionality in a realistic environment; second, its capability of supporting ATM applications and the advanced security measures that can be used to protect them; and third, its spectrum compatibility with legacy systems. We conclude that LDACS is ready to support ATM operations and that LDACS frequency planning can safeguard legacy systems successfully.

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Section: Ldacs Backgroundmentioning

confidence: 99%

LDACS Flight Trials: Demonstration and Performance Analysis of the Future Aeronautical Communications System

Bellido-Manganell

Gräupl

Heirich

et al. 2022

IEEE Trans. Aerosp. Electron. Syst.

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“…In the long term, it must be considered whether LDACS can truly replace legacy DME systems in the long-term. There are also considerations to use LDACS for surveillance such as Filip et al showed in [10] using LDACS as a passive radar substitute. However, the easier approach to implement surveillance into LDACS is to use ADS-C and Automatic Dependent Surveillance -Broadcast (ADS-B) and broadcast the position of an aircraft to all neighboring planes and periodically send the position of that aircraft via the RL down to the ground network.…”

Section: E Extension Towards Navigation and Surveillancementioning

confidence: 99%

Evaluation of the LDACS Cybersecurity Implementation

Mäurer

Gräupl

Schmitt

2019

2019 IEEE/AIAA 38th Digital Avionics Systems Conference (DASC)

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Communication, Navigation and Surveillance (CNS) infrastructure in civil aviation must evolve as fast as possible to cope with all challenges posed by the growth of the worldwide population, globalization and the demand for more and more mobility worldwide. Analogue systems are replaced by digital means, automation is becoming much more important to handle new entrants in the air traffic system, spectrum saturation must be solved by introducing digital systems and the safety and security of the safety critical infrastructure surrounding civil aviation must be constantly updated to support the ever-growing complexity of the system. As one of the Future Communication Infrastructure (FCI) candidates we introduce LDACS as the very first true integrated CNS system worldwide. In previous works we have already analyzed its cybersecurity and developed an architecture with corresponding algorithm and proofed the improvement of the cybersecurity due to our security additions. Here we implement the LDACS cybersecurity architecture and evaluate the impact of introduced security overhead on the LDACS system. We conclude that the proposed protection mechanisms successfully mitigate previously identified risks and only add minor time, data and computation overhead on top of the LDACS protocol stack, making the security solutions a good candidate to be included in the SESAR wave 2 updated LDACS specification.

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“…Further, the target detection and parameter estimation are evaluated by performing two‐dimensional matched filtering on the target echo

{\widehat{y}}_{r}(m,n)

with a delayed and Doppler‐shifted version of the reference signal [31]. Here, the reference signal is available as the reconstructed DPC signal

{\widehat{y}}_{c}(m,n)

.…”

Section: System Model and Problem Descriptionmentioning

confidence: 99%

Radar and communication integrated systems design based on deep neural networks

Liu

Cao

Mao

et al. 2023

IET Radar Sonar & Navi

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Due to the spectrum congestion in the future 6G networks and the dramatic increasing requirement for the equipment that can detect and communicate simultaneously, the design of bi‐static radar and communication integrated (RCI) system is receiving more and more attention. Orthogonal frequency division multiplexing (OFDM) is a commonly used waveform in bi‐static RCI system. There are two gaps in current research that need to be filled. First, high peak‐to‐average ratio (PAPR) of OFDM signal is less considered in the conventional bi‐static RCI system due to the difficulty in recovering in the receiver. Second, the target echo estimation depends on the reconstruction of the direct‐path communication (DPC) signal. To overcome these limitations, we firstly propose a deep learning (DL)‐based transceiver design for the bi‐static RCI systems. Specifically, we design a neural network (NN)‐based waveform designer (WDNN) to reduce the PAPR of the transmit waveform, an NN‐based signal separator (SSN) to directly separate the target echo and the DPC signal, and an NN‐based symbol recovery (SRN) to demodulate the symbols. By using the training data and channel realisations, these three networks are jointly trained offline to minimise the PAPR of the transmit waveform, the separation error of the target echo and DPC signals, and the bit error rate. Then, in the online deployment phase, the trained WDNN is used to modify the transmitted waveform, and the trained SSN and SRN are placed at the receiver to separate signal and demodulate symbol. Simulation results show that compared to the conventional method, the proposed scheme not only reduces the PAPR but also improves the estimation of target parameters and communication symbol.

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Ambiguity Function Analysis for OFDM-Based LDACS Passive Multistatic Radar

Cited by 10 publications

References 29 publications

LDACS Flight Trials: Demonstration and Performance Analysis of the Future Aeronautical Communications System

LDACS Flight Trials: Demonstration and Performance Analysis of the Future Aeronautical Communications System

Evaluation of the LDACS Cybersecurity Implementation

Radar and communication integrated systems design based on deep neural networks

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