Antennas and Propagation Aspects for Emerging Wireless Communication Technologies

The increasing demand for high data rate applications and the delivery of zero-latency multimedia content drives technological evolutions towards the design and implementation of next-generation broadband wireless networks. In this context, various novel technologies have been introduced, such as millimeter wave (mmWave) transmission, massive multiple input multiple output (MIMO) systems, and non-orthogonal multiple access (NOMA) schemes in order to support the vision of fifth generation (5G) wireless cellular networks. The introduction of these technologies, however, is inextricably connected with a holistic redesign of the current transceiver structures, as well as the network architecture reconfiguration. To this end, ultra-dense network deployment along with distributed massive MIMO technologies and intermediate relay nodes have been proposed, among others, in order to ensure an improved quality of services to all mobile users. In the same framework, the design and evaluation of novel antenna configurations able to support wideband applications is of utmost importance for 5G context support. Furthermore, in order to design reliable 5G systems, the channel characterization in these frequencies and in the complex propagation environments cannot be ignored because it plays a significant role. In this Special Issue, fourteen papers are published, covering various aspects of novel antenna designs for broadband applications, propagation models at mmWave bands, the deployment of NOMA techniques, radio network planning for 5G networks, and multi-beam antenna technologies for 5G wireless communications

Electronic warfare self-protection of battlefield helicopters : a holistic view

The dissertation seeks to increase understanding of electronic warfare (EW) self-protection (EWSP) of battlefield helicopters by taking a holistic (systems) view on EWSP. It also evaluates the methodologies used in the research and their suitability as descriptive tools in communication between various EWSP stakeholders. The interpretation of the term "holistic view" is a central theme to the dissertation. The research methodology is bottom-up – which is necessary since no previous work exists that could guide the study – and progresses from analysis to synthesis. Initially several methods are evaluated for presenting findings on EWSP, including high-level system simulation such as Forrester system dynamics (FSD). The analysis is conducted by a comprehensive literature review on EW and other areas that are believed to be of importance to the holistic view. Combat scenarios, intelligence, EW support, validation, training, and delays have major influence on the effectiveness of the EWSP suite; while the initial procurement decision on the EWSP suite sets limits to what can be achieved later. The need for a vast support structure for EWSP means that countries with limited intelligence and other resources become dependent on allies for support; that is, the question of EWSP effectiveness becomes political. The synthesis shows that a holistic view on EWSP of battlefield helicopters cannot be bounded in the temporal or hierarchical (organizational) senses. FSD is found to be helpful as a quality assurance tool, but refinements are needed if FSD is to be useful as a general discussion tool. The area of survivability is found to be the best match for the holistic view – for an EWSP suprasystem. A global survivability paradigm is defined as the ultimate holistic view on EWSP. It is suggested that future research should be top-down and aiming at promoting the global survivability paradigm. The survivability paradigm would give EWSP a natural framework in which its merits can be assessed objectively.reviewe

Algorithms for sensor validation and multisensor fusion

Existing techniques for sensor validation and sensor fusion are often based on analytical sensor models. Such models can be arbitrarily complex and consequently Gaussian distributions are often assumed, generally with a detrimental effect on overall system performance. A holistic approach has therefore been adopted in order to develop two novel and complementary approaches to sensor validation and fusion based on empirical data. The first uses the Nadaraya-Watson kernel estimator to provide competitive sensor fusion. The new algorithm is shown to reliably detect and compensate for bias errors, spike errors, hardover faults, drift faults and erratic operation, affecting up to three of the five sensors in the array. The inherent smoothing action of the kernel estimator provides effective noise cancellation and the fused result is more accurate than the single 'best sensor'. A Genetic Algorithm has been used to optimise the Nadaraya-Watson fuser design. The second approach uses analytical redundancy to provide the on-line sensor status output μH∈[0,1], where μH=1 indicates the sensor output is valid and μH=0 when the sensor has failed. This fuzzy measure is derived from change detection parameters based on spectral analysis of the sensor output signal. The validation scheme can reliably detect a wide range of sensor fault conditions. An appropriate context dependent fusion operator can then be used to perform competitive, cooperative or complementary sensor fusion, with a status output from the fuser providing a useful qualitative indication of the status of the sensors used to derive the fused result. The operation of both schemes is illustrated using data obtained from an array of thick film metal oxide pH sensor electrodes. An ideal pH electrode will sense only the activity of hydrogen ions, however the selectivity of the metal oxide device is worse than the conventional glass electrode. The use of sensor fusion can therefore reduce measurement uncertainty by combining readings from multiple pH sensors having complementary responses. The array can be conveniently fabricated by screen printing sensors using different metal oxides onto a single substrate

Intelligent Circuits and Systems

ICICS-2020 is the third conference initiated by the School of Electronics and Electrical Engineering at Lovely Professional University that explored recent innovations of researchers working for the development of smart and green technologies in the fields of Energy, Electronics, Communications, Computers, and Control. ICICS provides innovators to identify new opportunities for the social and economic benefits of society.　 This conference bridges the gap between academics and R&D institutions, social visionaries, and experts from all strata of society to present their ongoing research activities and foster research relations between them. It provides opportunities for the exchange of new ideas, applications, and experiences in the field of smart technologies and finding global partners for future collaboration. The ICICS-2020 was conducted in two broad categories, Intelligent Circuits & Intelligent Systems and Emerging Technologies in Electrical Engineering

Metamaterials and Metasurfaces

Ye

Chemically selective microspectroscopy with broadband shaped femtosecond laser pulses

This doctoral thesis presents a new, unified approach to nonlinear microspectroscopy employing tailored broadband femtosecond laser radiation. The key concept is to functionalize the femtosecond excitation in order to implement a series of multiphoton spectroscopy techniques, especially for microscopic imaging. The most important application is coherent anti-Stokes Raman scattering (CARS) spectroscopy, which allows chemical identification of untreated samples in microscopy due to their characteristic vibrational spectra. The presented approach allows huge experimental simplifications of CARS, schemes for very rapid spectral acquisition and determination of the chemical composition (based on the quantitative analysis of entangled multiplex spectra by evolutionary algorithm fitting), as well as new methods for microscopic CARS measurements in the time-domain, resolving molecular vibrations temporally. This is possible, because coherent control of the signal generation is applied, manipulating the quantum mechanical processes of the underlying light-matter interaction by shaping the excitation light field in phase, amplitude and polarization. Thus, spectroscopic function and even molecular control is imprinted on the excitation pulses. It is shown that this idea of functional “photonic integration” can be pursued even further by incorporating an interferometric detection scheme in the same pulses without any additional optical elements in the experimental setup, drastically improving the measurement sensitivity by more than three orders of magnitude. In addition to these novel conceptual findings, new technological developments have been invented and pushed forward. These include the generation of ultrabroadband femtosecond radiation in microstructured optical fibres and its precise phase measurement and management, which is a prerequisite for coherent control. In this context, a new pulse-shaper enabled variant of SPIDER was developed, allowing very rapid compression in collinear beam geometry in the microscope. Employing the developed set of tools and concepts, application examples are given ranging from quantitative chemical imaging of polymer blend samples, to the chemical identification of potentially hazardous powdery substances and the microanalytical sensing of the chemical composition in a microfluidic device

Multi-scale assessment of shore platform erosion

The morphology and erosion of shore platforms is a pivotal component of rocky coast evolution as these features control both wave transformation and sediment dynamics. Models that predict coastline evolution and efforts to reconstruct past cliff retreat rates from cosmogenic isotope concentrations are forced to simplify platform morphology and commonly treat erosion only implicitly. The lack of an explicit incorporation of platform dynamics into such models reflects a poor understanding of erosion processes that have conventionally been considered to operate at one of two scales: fine scale abrasion captured by sub-mm precision point measurements of vertical change, and step back-wearing and block removal at metre-scale. Neither approach is well suited to informing a generalised model of foreshore erosion that bridges these two scales or that can be applied more widely. As a result without understanding mechanisms of foreshore erosion models which use these data are limited in their utility to address future coastal change under changing sea level and storminess. To address this a multi-scale study was undertaken along the North Yorkshire coast (UK) using high-resolution and high-precision monitoring data collected at the spatial and temporal scales relevant to the processes in action. A novel method was developed to monitor mm-scale platform erosion using Structure-from-Motion (SfM) photogrammetry. The average platform down-wearing rate of 0.528 mm yr-1 was calculated from 15 individual 0.5×0.5 m sites. The volume frequency and 3D-shape distributions of the detachments suggest that erosion occurs predominantly via detachment of fabric-defined platelets. The erosion rate is faster closer to the cliff toe and at those locations where the tide cycles more frequently. Erosion rates calculated from the 2.6 years of data from 22 km of shore platform using high-resolution airborne LiDAR was 3.45 mm yr-1 when derived from individual detachments, or 0.01 mm yr-1 when spatially averaged across the platform. Average lowering of the platform sections containing steps was 0.04 mm yr-1, while in areas with no steps 0.01 mm yr-1. Whilst erosion rate cannot be predicted with confidence for any discrete point on the foreshore, systematic trends in across-shore erosion can be shown, with a peak in rate at 10-18 m from the cliff toe, with erosion intensity gradually decreasing seawards. This new understanding of foreshore erosion has then been used to predict exposure ages from cosmogenic 10Be concentrations at the Hartle Loup platform. This analysis shows that the cliff has been retreating at the steady rate of 0.05 m yr-1 cutting the 300 m wide shore platform in the last 6 kyr. This derives rates of retreat comparable to contemporary erosion monitoring. Platform morphology has been shown not to adjust to an equilibrium shape, but it is rather actively modified depending on the interplay between present morphology, sea level and tidal regime. Importantly, this study provides methods to monitor foreshore erosion, enhances our understanding of mechanisms and controls upon it, whilst the results can be used in models to predict rocky coast evolution by providing an empirically-based assessment of foreshore erosion