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IEEE Aerospace and Electronic Systems Magazine
Journal Prestige (SJR): 0.335
Citation Impact (citeScore): 1
Number of Followers: 173  
  Full-text available via subscription Subscription journal
ISSN (Print) 0885-8985
Published by IEEE Homepage  [191 journals]
  • Inside front cover
    • Abstract: Presents AESS society board members and information about the front cover.
      PubDate: July 2018
      Issue No: Vol. 33, No. 7 (2018)
  • Inside back cover
    • Abstract: Presents a listing of upcoming AESS meetings and conferences.
      PubDate: July 2018
      Issue No: Vol. 33, No. 7 (2018)
  • Back cover
    • Abstract: Presents the back cover for this issue of the publication.
      PubDate: July 2018
      Issue No: Vol. 33, No. 7 (2018)
  • In this issue — Technically
    • Pages: 2 - 2
      Abstract: Provides an overview of the technical articles and features presented in this issue.
      PubDate: July 2018
      Issue No: Vol. 33, No. 7 (2018)
  • From the associate editor-in-chief July 2018
    • Pages: 3 - 3
      Abstract: In July 2017, China's State Council put out an action plan for development of artificial intelligence (AI) technology for 2018–2020, including research in intelligent unmanned aerial vehicles as well as specifically in machine learning (ML) for other applications. In 2018, the U.S. Office of Naval Research put out a special program announcement for “Advancing Artificial Intelligence for the Naval Domain.” After that in 2018, the European Commission increased its investment in AI research to 1.5 billion for the 2018–2020 timeframe. With such a large international effort going into AI/ML research, one can expect that the first article in this issue, which addresses the use of neural networks to determine the relation between exhaust gas temperature and the revolutions per minute output of a gas turbine, will be one of many in the coming years that uses an ML technique to solve a practical problem.
      PubDate: July 2018
      Issue No: Vol. 33, No. 7 (2018)
  • EGT prediction of a micro gas turbine using statistical and artificial
           intelligence approach
    • Authors: Iman Koleini;Alireza Roudbari;Vahid Marefat;
      Pages: 4 - 13
      Abstract: Small size gas turbine application has increased with the advancement of technology. These engines have simple structures, fewer number of operating components, and less design and construction costs in comparison with large gas turbines. Small size gas turbines can be used in different fields such as remotely piloted vehicles, unmanned aerial vehicles, helicopters, and special purpose aircraft such as vertical takeoff and landing aircrafts [1]. The advantages of these engines compared to the large gas turbine engines leads to high usage of small-sized engines and growing demand for research activities and experimental test results on the operating parameters of these engines, such as exhaust gas temperature (EGT). In general, research on gas turbine engines, related with the present work, can be divided into two parts. The first part includes studies about past experiments and modeling of gas turbine engines, and the second part focuses on data mining methods applied on gas turbine engines. These two areas are discussed in the following sections.
      PubDate: July 2018
      Issue No: Vol. 33, No. 7 (2018)
  • A survey on quadrotors: Configurations, modeling and identification,
           control, collision avoidance, fault diagnosis and tolerant control
    • Authors: Hassan Shraim;Ali Awada;Rafic Youness;
      Pages: 14 - 33
      Abstract: Unmanned Aerial Vehicles (UAVs) offer a wide range of interesting military and commercial applications at reduced costs. A couple of their more interesting characteristics include: They are capable of hovering and flying at high and low speeds, and they can move in any direction and take off and land vertically. A very promising class of these vehicles comprises small vehicles that can be flown either indoor or outdoor and offer the possibility for near-area surveillance, crop dusting, precision farming [1], microwave autonomous copter systems for geological remote sensing as shown in [2], geographic studies, fire monitoring, security applications, search- and-rescue, and attack and rendezvous [3], [4]. However, challenging requirements in terms of size, weight, and maneuverability for these systems are presented in [5]. A type of aircraft with an important and significant potential is the so-called Quadrotor that is considered by most research studies as a promising UAV [6].
      PubDate: July 2018
      Issue No: Vol. 33, No. 7 (2018)
  • New-generation hybrid guidance system based on infrared and millimeter
    • Authors: Cheng Cheng;Min Gao;Xude Cheng;Dan Fang;
      Pages: 34 - 44
      Abstract: The aim of this study is to propose an improvement to the fighting effectiveness of the homing antiarmor missile that would be accomplished by improving the antijamming accuracy and ability of the existing seeker system. We aim to show that dual-mode guidance systems based on infrared and millimeter waves can over-come the shortages of single-mode guidance systems and verify our theory through simulations. Accordingly, the composite seeker design, based on a combination of an uncooled staring infrared imaging technology and a W-band millimeter wave active phased array, is presented in this article.
      PubDate: July 2018
      Issue No: Vol. 33, No. 7 (2018)
  • Call for nominations — 2018 AESS Pioneer award
    • Pages: 45 - 45
      Abstract: Presents the guidelines for the AESS Pioneer Award.
      PubDate: July 2018
      Issue No: Vol. 33, No. 7 (2018)
  • LTE commsense for object detection in indoor environments
    • Authors: Santu Sardar;Amit K. Mishra;M. Z. A. Khan;
      Pages: 46 - 59
      Abstract: In this work, we describe a new method of using long-term evolution (LTE) telecommunication infrastructure to sense environmental changes. We call it LTE communication-based sensing (Com-mSense). It can be used in various environment-sensing tasks, e.g., sea level monitoring, security of large unmanned landscapes, snow avalanche monitoring, and activity detection inside forests. The main concept of this technology is to focus on the known signal embedded in the data frames. It compares the received signal with the expected reference signal to estimate the change in the environment. LTE telecommunication infrastructure is used for this environment-sensing task because of its wide coverage. In addition, LTE uses a two-dimensional (2D) frame structure of orthogonal frequency division multiplexing (OFDM) and multiple input and multiple output (MIMO), which may yield better performance compared to previous communication standards. This procedure of extracting channel characteristics using commensal radar principles does not affect the existing telecommunication system, because it is a receive-only system. After the channel characteristics are estimated, they can be used to obtain phenomenological knowledge of the environment using an application-specific instrumentation (ASIN) framework. The capability analysis of this scheme is presented in this article, first in simulation and then using field-collected data captured with the help of a software-defined radio (SDR) platform.
      PubDate: July 2018
      Issue No: Vol. 33, No. 7 (2018)
  • Integrated attitude-drbit dynamics and control of spacecraft systems:
           State of the art and future trends
    • Authors: Mohamad Fakhari Mehrjardi;Hilmi Sanusi;Mohd. Alauddin Mohd. Ali;Mardina Abdullah;
      Pages: 60 - 71
      Abstract: Spacecraft orbit and attitude determination and control (OADC) is described as the methodology of determining and controlling the motion and orientation (i.e., the state vector, ephemeris, or state) of an orbiting object such as a spacecraft relative to the Sun, the Earth, or the stars [1]. The motion and orientation of a space-craft are estimated by a set of equations with the state adjusted in response to a set of discrete sensor's data and subject to both random and systematic errors [2]. In the context of this article, the integrated orbit and attitude determination and control (IO-ADC) problem is generally described by introducing statistical estimation techniques of determining the state of a spacecraft as a function of time using the set of observations. The spacecraft is supposed to be influenced by a variety of external forces and torques, such as gravity, aerodynamic drag, solar radiation, third-body disturbances, and Earth tidal effects [3]. The complex description of these forces and torques results in a highly nonlinear set of dynamical equations. Since the OADC equations and observational data are inherently nonlinear, linearization technique is often performed in which linear estimation methods are used to resolve the OADC problem [4].
      PubDate: July 2018
      Issue No: Vol. 33, No. 7 (2018)
  • AESS resource center
    • Pages: 71 - 71
      Abstract: Presents information on the AESS Resource Center.
      PubDate: July 2018
      Issue No: Vol. 33, No. 7 (2018)
  • Call for nominations
    • Pages: 72 - 72
      Abstract: Advertisement, IEEE.
      PubDate: July 2018
      Issue No: Vol. 33, No. 7 (2018)
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Heriot-Watt University
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