Forthcoming articles

International Journal of Satellite Communications Policy and Management

International Journal of Satellite Communications Policy and Management (IJSCPM)

These articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Satellite Communications Policy and Management (2 papers in press)

Regular Issues

  • On The Performance of a Fuzzy Variable Structure Satellite Attitude Controller Under Sensor and Actuator Uncertainties   Order a copy of this article
    by Bilgehan Erkal 
    Abstract: Controlling the attitude of a satellite with high accuracy and stability under both sensor and actuator delay is a great problem. It is possible to correct for errors, but a robust controller is more preferable. In this study, the attitude of a 3-DoF satellite model incorporating uncertainties (delays in handling both sensors and actuators) is controlled using a suitably designed Integral Fuzzy Variable Structure Controller (IFVSC). The attitude control accuracy of the IFVSC is evaluated and compared to other reference controllers (one is a PID Controller and the other is a Loop Shaping Controller). IFVSC is found to perform well with Td=0.2s sensor and actuator data delay.
    Keywords: Fuzzy Variable Structure Control; Loop Shaping Controller; Satellite Attitude Control; Sensor Data Delay; Actuator Misplacement.

  • Guided Search MIMO Detectors Aided by Lattice Reduction   Order a copy of this article
    by Yuri Mendes Mostagi, Taufik Abrão 
    Abstract: Under MIMO channels, the matched filter detection becomes inefficient to deal with high data throughput demanding systems. The performance or system capacity under conventional detection will be substantially degraded when the spatial diversity provided by multiple antennas can not be fully exploited and the detection process is unable to efficiently separate the signal from each antenna. The solution discussed in this paper seeks to establish more efficient detectors for MIMO systems with the aid of the lattice reduction (LR) technique. These detectors use information from the interfering signals in a way to improve the signal detection in the antenna of interest, thus providing advantages over the conventional system, at the expense of increasing complexity. The focus of this paper consists in comparing the characteristics of three representative sub-optimal detectors based on the maximum-likelihood function as well as on the guided search principle, previously analyzed in [1]. In this way, the complexity
    Keywords: MIMO systems; ML estimation; sub-optimum detection; search algorithms; Lattice Reduction