Aerospace and Electronic Systems Magazine May 2018 - 2

In This Issue - Technically
EVOLUTION OF ICT FOR THE IMPROVEMENT OF QUALITY OF LIFE
In the today's ageing society, chronic diseases are affecting the Quality of Life (QoL) of people living their daily
lives in their homes after being sent home from the hospital. Information and communication technology (ICT) has
already been shown to be a promising tool to support these kinds of patients, to improve their independence in the
activities of daily life, as well as to reduce the economic burden of health-related welfare in the most developed
countries. In this article, we briefly report on the classification of the most relevant characteristics of health-related
QoL (HRQoL) as defined by the World Health Organization (WHO). Then, we describe and categorize the most
recent ICT approaches to support telemedicine and e-health experiences (like the Internet-of-Things for health),
together with providing insights in how to evaluate the HRQoL and the benefits of ICT in improving HRQoL.

WIFI-BASED THROUGH-THE-WALL PRESENCE DETECTION OF STATIONARY AND MOVING HUMANS
ANALYZING THE DOPPLER SPECTRUM
The article focuses on through-the-wall (TTW) device-free presence detection using WiFi signals. Most of the
WiFi-based TTW human detection systems in the literature assume that the person to be detected moves inside
the room, even if slowly. This article proposes a method for detecting both stationary and not stationary humans.
The proposed approach is based on the computation of the mean Doppler Spectrum as a measure of how the
RF propagation channel varies over time due to the presence of a human being. The idea behind the method is
that one stationary and one moving person cause different time-variations of the channel. Experimental results
clearly show the effectiveness of the proposed method.

REAL-TIME ADAPTIVE SPECTRUM SENSING FOR CYCLOSTATIONARY AND ENERGY DETECTORS
The cognitive radio (CR) concept plays an important role in the development of future smart systems and intelligent services for various applications from sensors to integrated large-scale communication networks which
can solve many and diverse problems in human society. Spectrum sensing is a vitally important functionality
for the CR device because it allows for evaluating which part of the spectrum is available and therefore, can be
utilized. This article proposes an optimization algorithm for improving the existing cyclostationary and energy
detectors based on a trade-off between sensing time and accuracy, and we evaluate it in a practical implementation scenario with an USRP and GNU radio. We introduce adaptivity in the spectrum sensing process as a means
to optimize and compare the performance of the examined methods for a scenario of very low SNR conditions,
fading channel and limited mobility of the secondary user receiver.

FDA-OFDM FOR INTEGRATED NAVIGATION, SENSING AND COMMUNICATION SYSTEMS
Integrated navigation, sensing, and communications is a promising technique, but it has a technical challenge that
involves designing effective and efficient integrated waveforms. This article proposes the use of frequency diverse
array (FDA) and orthogonal frequency division multiplexing (OFDM) chirp waveforms, referred to as FDA-OFDM,
for integrated radar and communication applications, with an aim to call for more publications and research on this
promising topic. The conceptual system is discussed from a top-view perspective, along with the discussions of
future work about mutual interference suppression and effective receiver signal processing algorithms.

ENABLING RF DATA ANALYTICS SERVICES AND APPLICATIONS VIA CLOUDIFICATION
The cloudification of radio frequency (RF) data is an emerging trend that can enable new fields of big data analytics research, services, and applications. In this article, we describe a collaborative cloud based platform allowing the implementation of RF data analytics. The platform allows the collection and sharing of RF data, as well
as the deployment of algorithms, services, and applications. "RF data" is defined as data paired with associated
metadata, including relevant XML or ontology descriptions. The RF cloud architecture described here allows a
number of novel services and applications to be enabled. A first example of a RF data analytics service is longterm spectrum monitoring. We describe our experience in long-term spectrum monitoring and give examples
for descriptive, predictive, and prescriptive RF data analytics. The article also considers some societal aspects
brought by RF data analytics services and applications.
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IEEE A&E SYSTEMS MAGAZINE

MAY - JUNE 2018

Table of Contents for the Digital Edition of Aerospace and Electronic Systems Magazine May 2018