Doppler estimation for OFDM based Aeronautical Data communication

Haque, Jamal; Erturk, M. Cenk; Arslan, Hüseyin

doi:10.1109/wts.2010.5479657

Cited by 7 publications

(10 citation statements)

References 10 publications

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“…It helps to address the resource management issues arising from a rapid increase in in-flight Internet usage and the degraded connectivity issues due to delay sensitive satellite links. The global mobility achieved from these platforms, the development of efficient SDR algorithms and high bandwidth processing engines led to the implementation of Cognitive Aeronautical Software Defined Radio (CASDR) concept [121], [122]. An intelligent CASDR possess the ability to configure the system, learn the channel conditions over the flight route, establish the history and derive accurate channel parameters for given location, altitude, and speed.…”

Section: B Cognitive Radio For Air-air Communicationmentioning

confidence: 99%

“…The en-route stage of an aircraft, which is modeled as a two-ray channel, undergoes dual-Doppler shifts since the maximum Doppler shift frequency (f dmax for an aircraft is significantly high [121]. The LOS Doppler shift will represent a deterministic Doppler shift that can be tracked and corrected by traditional frequency shift algorithms [137] while the reflected path will depict a random Doppler, which can span anywhere between f dmax to −f dmax with a narrow Doppler spread [138].…”

Section: A Challenges In Channel Modelingmentioning

confidence: 99%

“…However, the VHF radio spectrum allocated for aeronautical communications which are 19 MHz wide and spread over [118][119][120][121][122][123][124][125][126][127] MHz band provides only 760 amplitude modulated (AM)-radio channels with 25 KHz of spectral spacing. With the increase in demand for more voice channels, the 25 KHz channels are further divided into three sub-channels of 8.…”

Section: Introductionmentioning

confidence: 99%

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Cognitive Radio for Aeronautical Communications: A Survey

et al. 2016

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Novel Air Traffic Management (ATM) strategies are proposed through the Next Generation Air Transportation (NextGen) and Single European Sky for ATM Research (SESAR) projects to improve the capacity of the airspace and to meet the demands of the future air traffic. The implementation of the proposed solutions leads to increasing use of wireless data for aeronautical communications. Another emerging trend is the unmanned aerial vehicles. The unmanned aerial systems (UASs) need reliable wireless data link and dedicated spectrum allocation for its operation. On-board broadband connectivity also needs dedicated spectrum to satisfy the quality of service (QoS) requirements of the users. With the growing demand, the aeronautical spectrum is expected to be congested. However, the studies revealed that the aeronautical spectrum is underutilized due to the static spectrum allocation strategy. The aeronautical communication systems such as air-air and airground communication systems, inflight infotainment systems, wireless avionics intra-communications (WAIC), and UAS can benefit significantly from the introduction of cognitive radio based transmission schemes. This article summarizes the current trends in aeronautical spectrum management followed by the major applications and contributions of cognitive radio in solving the spectrum scarcity crisis in the aeronautical domain. Also, to cope with the evolving technological advancement, researchers have prioritized the issues in the case of cognitive radio that needs to be addressed depending on the domain of operation. The proposed cognitive aeronautical communication systems should also be compliant with the Aeronautical Radio Incorporated (AR-INC) and Aerospace Recommended Practice (ARP) standards. An overview of these standards and the challenges that need immediate attention to make the solution feasible for a largescale operation, along with the future avenues of research is also furnished.

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Section: B Cognitive Radio For Air-air Communicationmentioning

confidence: 99%

Section: A Challenges In Channel Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Cognitive Radio for Aeronautical Communications: A Survey

et al. 2016

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“…The research presented in [8][9][10][11][12] suggests that the correlation time and the delay spread for the here analysed propagation environments are very short. The delay spread was measured for a short distance between the vehicle and the coast station, and for a larger distance.…”

Section: Main Parameters Of the Channel Correlation Time And Delay Spmentioning

confidence: 99%

“…This is very important information from the point of view of the OFDM system design, because small delay spread means that small time guard T g between OFDM symbols is required. From the literature [11,13] we know that the time guard should be a few times larger than the maximum delay spread, in order to take into account the most critical situations occurring in the propagation environment.…”

Section: Main Parameters Of the Channel Correlation Time And Delay Spmentioning

confidence: 99%

Design of OFDM-Based Radio Communication Systems for Coast-to-Sea and Coast-to-Air Propagation Environments

Gajewski

2016

Polish Maritime Research

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In the paper the study of radio communication system design process for systems based on OFDM transmission is considered. The signal propagation model for 1.4 GHz frequency band is discussed, and the study of signal propagation characteristics, important from the point of view of OFDM system design, is presented. The methodology of OFDM interface design is proposed and some characteristics of the OFDM-based radio communication system are analysed.

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Aeronautical $Ad~Hoc$ Networking for the Internet-Above-the-Clouds

Chen²,

et al. 2019

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The engineering vision of relying on the "smart sky" for supporting air traffic and the "Internet above the clouds" for in-flight entertainment has become imperative for the future aircraft industry. Aeronautical ad hoc Networking (AANET) constitutes a compelling concept for providing broadband communications above clouds by extending the coverage of Air-to-Ground (A2G) networks to oceanic and remote airspace via autonomous and self-configured wireless networking amongst commercial passenger airplanes. The AANET concept may be viewed as a new member of the family of Mobile ad hoc Networks (MANETs) in action above the clouds. However, AANETs have more dynamic topologies, larger and more variable geographical network size, stricter security requirements and more hostile transmission conditions. These specific characteristics lead to more grave challenges in aircraft mobility modeling, aeronautical channel modeling and interference mitigation as well as in network scheduling and routing. This paper provides an overview of AANET solutions by characterizing the associated scenarios, requirements and challenges. Explicitly, the research addressing the key techniques of AANETs, such as their mobility models, network scheduling and routing, security and interference are reviewed. Furthermore, we also identify the remaining challenges associated with developing AANETs and present their prospective solutions as well as open issues. The design framework of AANETs and the key technical issues are investigated along with some recent research results. Furthermore, a range of performance metrics optimized in designing AANETs and a number of representative multi-objective optimization algorithms are outlined.

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Doppler estimation for OFDM based Aeronautical Data communication

Cited by 7 publications

References 10 publications

Cognitive Radio for Aeronautical Communications: A Survey

Cognitive Radio for Aeronautical Communications: A Survey

Design of OFDM-Based Radio Communication Systems for Coast-to-Sea and Coast-to-Air Propagation Environments

Aeronautical $Ad~Hoc$ Networking for the Internet-Above-the-Clouds

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