Interleavers

The chapter describes principles, analysis, design, properties, and implementations of optical frequency (or wavelength) interleavers. The emphasis is on finite impulse response devices based on cascaded Mach-Zehnder-type filter elements with carefully designed coupling ratios, the so-called resonant couplers. Another important class that is discussed is the infinite impulse response type, based on e.g. Fabry-Perot, Gires-Tournois, or ring resonators

Pascal-Interpolation-Based Noninteger Delay Filter and Low-Complexity Realization

This paper proposes a new method for designing the polynomial-interpolation-type noninteger-delay filter with a new structure formulation. Since the design formulation and the new realization structure are based on the discrete Pascal transform (DPT) and Pascal interpolation, we call the resulting filter Pascal noninteger-delay filter. The kth-order Pascal polynomial is used to pass through the given (k+1) data points in achieving the kth-order Pascal filter. The Pascal noninteger-delay filter is a real-time filter that consists of two sections, which can be realized into the front-section and the back-section. The front-section contains multiplication-free digital filters, and the number of multiplications in the back-section just linearly increases as order becomes high. Since the new Pascal filter has low complexity and structure can adjust non-integer delay online, it is more suited for fast delay tuning. Consequently, the polynomial-interpolation-type delay filter can be achieved by using the Pascal approach with high efficiency and low-complexity structure

Designing Flexible, Energy Efficient and Secure Wireless Solutions for the Internet of Things

The Internet of Things (IoT) is an emerging concept where ubiquitous physical objects (things) consisting of sensor, transceiver, processing hardware and software are interconnected via the Internet. The information collected by individual IoT nodes is shared among other often heterogeneous devices and over the Internet. This dissertation presents flexible, energy efficient and secure wireless solutions in the IoT application domain. System design and architecture designs are discussed envisioning a near-future world where wireless communication among heterogeneous IoT devices are seamlessly enabled. Firstly, an energy-autonomous wireless communication system for ultra-small, ultra-low power IoT platforms is presented. To achieve orders of magnitude energy efficiency improvement, a comprehensive system-level framework that jointly optimizes various system parameters is developed. A new synchronization protocol and modulation schemes are specified for energy-scarce ultra-small IoT nodes. The dynamic link adaptation is proposed to guarantee the ultra-small node to always operate in the most energy efficiency mode, given an operating scenario. The outcome is a truly energy-optimized wireless communication system to enable various new applications such as implanted smart-dust devices. Secondly, a configurable Software Defined Radio (SDR) baseband processor is designed and shown to be an efficient platform on which to execute several IoT wireless standards. It is a custom SIMD execution model coupled with a scalar unit and several architectural optimizations: streaming registers, variable bitwidth, dedicated ALUs, and an optimized reduction network. Voltage scaling and clock gating are employed to further reduce the power, with a more than a 100% time margin reserved for reliable operation in the near-threshold region. Two upper bound systems are evaluated. A comprehensive power/area estimation indicates that the overhead of realizing SDR flexibility is insignificant. The benefit of baseband SDR is quantified and evaluated. To further augment the benefits of a flexible baseband solution and to address the security issue of IoT connectivity, a light-weight Galois Field (GF) processor is proposed. This processor enables both energy-efficient block coding and symmetric/asymmetric cryptography kernel processing for a wide range of GF sizes (2^m, m = 2, 3, ..., 233) and arbitrary irreducible polynomials. Program directed connections among primitive GF arithmetic units enable dynamically configured parallelism to efficiently perform either four-way SIMD GF operations, including multiplicative inverse, or a long bit-width GF product in a single cycle. This demonstrates the feasibility of a unified architecture to enable error correction coding flexibility and secure wireless communication in the low power IoT domain.PHDComputer Science & EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttps://deepblue.lib.umich.edu/bitstream/2027.42/137164/1/yajchen_1.pd

Low Complexity Scalable Iterative Algorithms for IEEE 802.11p Receivers

In this paper, we investigate receivers for Vehicular to Vehicular (V2V) and Vehicular to Infrastructure (V2I) communications. Vehicular channels are characterized by multiple paths and time variations, which introduces challenges in the design of receivers. We propose an algorithm for IEEE 802.11p compliant receivers, based on Orthogonal Frequency Division Multiplexing (OFDM). We employ iterative structures in the receiver as a way to estimate the channel despite variations within a frame. The channel estimator is based on factor graphs, which allow the design of soft iterative receivers while keeping an acceptable computational complexity. Throughout this work, we focus on designing a receiver offering a good complexity performance trade-off. Moreover, we propose a scalable algorithm in order to be able to tune the trade-off depending on the channel conditions. Our algorithm allows reliable communications while offering a considerable decrease in computational complexity. In particular, numerical results show the trade-off between complexity and performance measured in computational time and BER as well as FER achieved by various interpolation lengths used by the estimator which both outperform by decades the standard least square solution. Furthermore our adaptive algorithm shows a considerable improvement in terms of computational time and complexity against state of the art and classical receptors whilst showing acceptable BER and FER performance

Intelligent Pattern Analysis of the Foetal Electrocardiogram

The aim of the project on which this thesis is based is to develop reliable techniques for foetal electrocardiogram (ECG) based monitoring, to reduce incidents of unnecessary medical intervention and foetal injury during labour. World-wide electronic foetal monitoring is based almost entirely on the cardiotocogram (CTG), which is a continuous display of the foetal heart rate (FHR) pattern together with the contraction of the womb. Despite the widespread use of the CTG, there is no significant improvement in foetal outcome. In the UK alone it is estimated that birth related negligence claims cost the health authorities over £400M per-annum. An expert system, known as INFANT, has recently been developed to assist CTG interpretation. However, the CTG alone does not always provide all the information required to improve the outcome of labour. The widespread use of ECG analysis has been hindered by the difficulties with poor signal quality and the difficulties in applying the specialised knowledge required for interpreting ECG patterns, in association with other events in labour, in an objective way. A fundamental investigation and development of optimal signal enhancement techniques that maximise the available information in the ECG signal, along with different techniques for detecting individual waveforms from poor quality signals, has been carried out. To automate the visual interpretation of the ECG waveform, novel techniques have been developed that allow reliable extraction of key features and hence allow a detailed ECG waveform analysis. Fuzzy logic is used to automatically classify the ECG waveform shape using these features by using knowledge that was elicited from expert sources and derived from example data. This allows the subtle changes in the ECG waveform to be automatically detected in relation to other events in labour, and thus improve the clinicians position for making an accurate diagnosis. To ensure the interpretation is based on reliable information and takes place in the proper context, a new and sensitive index for assessing the quality of the ECG has been developed. New techniques to capture, for the first time in machine form, the clinical expertise / guidelines for electronic foetal monitoring have been developed based on fuzzy logic and finite state machines, The software model provides a flexible framework to further develop and optimise rules for ECG pattern analysis. The signal enhancement, QRS detection and pattern recognition of important ECG waveform shapes have had extensive testing and results are presented. Results show that no significant loss of information is incurred as a result of the signal enhancement and feature extraction techniques

Design techniques for sigma-delta modulators in communications applications

Specialised design techniques for sigma-delta modulators are described in this thesis with all of the examples coming from modern communications systems. The noise shaping and the signal transfer functions can be optimised using a weighted least squares approach. Numerical problems arising in the optimisation as a result of high oversampling rates are overcome through the use a simple transformation. The application to digitising audio is discussed, with the conclusion that Butterworth response noise shaping is preferable to inverse Chebyshev noise shaping for audio applications. An example of optimising the signal transfer function to provide immunity to instability brought about by large out-of-band signals is also presented. The use of redundant arithmetic in the implementation of very high speed sigma-delta modulators is introduced, together with a DAC / filter combination suitable for reconstructing an analogue signal from the redundant arithmetic SDM. An improved topology for a speech compander is described which offers a number of significant advantages over existing published methods. This uses no external components for ac coupling or setting the response time-constant, yet is robust and insensitive to parasitic components and process variations. This has been integrated on a CMOS IC process and the results are compared with the high level simulations. A simulation method which allows the verification of switched-capacitor schematics with several orders of magnitude speed improvements over commercially available simulation tools is discussed. The method assumes ideal components, with internally controllable switches and reduces the schematic netlist to the few key equations that an experienced designer would derive manually. This process is fully automated and consequently is useful for providing confidence in implementations of complex SC systems

Radar Technology

In this book “Radar Technology”, the chapters are divided into four main topic areas: Topic area 1: “Radar Systems” consists of chapters which treat whole radar systems, environment and target functional chain. Topic area 2: “Radar Applications” shows various applications of radar systems, including meteorological radars, ground penetrating radars and glaciology. Topic area 3: “Radar Functional Chain and Signal Processing” describes several aspects of the radar signal processing. From parameter extraction, target detection over tracking and classification technologies. Topic area 4: “Radar Subsystems and Components” consists of design technology of radar subsystem components like antenna design or waveform design

High-Resolution Molecular Spectroscopy With An Optical Frequency Comb

Optical spectroscopy provides a window into the world of molecules and their environment by the absorption of electric dipole radiation with frequencies characteristic to each molecular species. The temperature, concentration, and pressures of molecules in a gas sample can theoretically be obtained through examination of optical absorption spectra. This is provided the spectrum is of high enough resolution and sufficient bandwidth that the complicated molecular absorption spectrum may be observed, particularly in cases with multiple molecular species present in a sample. The invention of a fully-stabilised optical frequency comb in recent decades has revolutionised molecular spectroscopy. It provides a near-ideal spectral interrogation source for the high-resolution study of molecules, combining absolute frequency accuracy, broad singleshot bandwidth, and dense spectral sampling. The comb light is contained within a single beam, and must be dispersed into its component frequencies in order for a molecular spectrum to be extracted. There are numerous methods to perform this, with the technique employed in this thesis utilising a dispersive spectrometer based on a virtually imaged phased array. The spectrometer spreads the comb light from a single beam into a two-dimensional array of its component frequencies, allowing the power of each comb frequency to be measured. This thesis details the development and construction of a virtually imaged phased array spectrometer system for use with an optical frequency comb. Additionally, code that extracts the traditional absorption spectrum from the two-dimensional arrays of frequencies produced by the spectrometer were developed and demonstrated, along with a model to extract physical parameters of molecules. The theoretical basis to model the characteristic absorption fingerprints is presented for each of the molecules examined in the course of this thesis (hydrogen cyanide, carbon dioxide, and acetylene), as well as the differences in spectra caused by changes to the pressure, temperature, and concentration of molecules in the sample. The results chapters walk through the development of the spectrometer into a reliable system capable of rapidly acquiring high-quality molecular spectra from which highly accurate and precise measurements of concentration and temperature were demonstrated. The capability of the system to easily differentiate between isotopologues of the same species in the same sample makes this spectrometer a powerful spectroscopic tool that, with further development, may find use in out-of-lab applications such as medical breath analysis and environmental monitoring. Additionally, the demonstrated capability to measure extremely high-resolution spectra beyond the resolution limit of the spectrometer may find use in measurements of the thermodynamic properties of molecules.Thesis (Ph.D.) -- University of Adelaide, School of Physical Sciences, 201

Digital Filters and Signal Processing

Digital filters, together with signal processing, are being employed in the new technologies and information systems, and are implemented in different areas and applications. Digital filters and signal processing are used with no costs and they can be adapted to different cases with great flexibility and reliability. This book presents advanced developments in digital filters and signal process methods covering different cases studies. They present the main essence of the subject, with the principal approaches to the most recent mathematical models that are being employed worldwide