Distributed UAV Swarm Augmented Wideband Spectrum Sensing Using Nyquist Folding Receiver

Distributed unmanned aerial vehicle (UAV) swarms are formed by multiple UAVs with increased portability, higher levels of sensing capabilities, and more powerful autonomy. These features make them attractive for many recent applica-tions, potentially increasing the shortage of spectrum resources. In this paper, wideband spectrum sensing augmented technology is discussed for distributed UAV swarms to improve the utilization of spectrum. However, the sub-Nyquist sampling applied in existing schemes has high hardware complexity, power consumption, and low recovery efficiency for non-strictly sparse conditions. Thus, the Nyquist folding receiver (NYFR) is considered for the distributed UAV swarms, which can theoretically achieve full-band spectrum detection and reception using a single analog-to-digital converter (ADC) at low speed for all circuit components. There is a focus on the sensing model of two multichannel scenarios for the distributed UAV swarms, one with a complete functional receiver for the UAV swarm with RIS, and another with a decentralized UAV swarm equipped with a complete functional receiver for each UAV element. The key issue is to consider whether the application of RIS technology will bring advantages to spectrum sensing and the data fusion problem of decentralized UAV swarms based on the NYFR architecture. Therefore, the property for multiple pulse reconstruction is analyzed through the Gershgorin circle theorem, especially for very short pulses. Further, the block sparse recovery property is analyzed for wide bandwidth signals. The proposed technology can improve the processing capability for multiple signals and wide bandwidth signals while reducing interference from folded noise and subsampled harmonics. Experiment results show augmented spectrum sensing efficiency under non-strictly sparse conditions

Time-encoding analog-to-digital converters : bridging the analog gap to advanced digital CMOS? Part 2: architectures and circuits

The scaling of CMOS technology deep into the nanometer range has created challenges for the design of highperformance analog ICs: they remain large in area and power consumption in spite of process scaling. Analog circuits based on time encoding [1], [2], where the signal information is encoded in the waveform transitions instead of its amplitude, have been developed to overcome these issues. While part one of this overview article [3] presented the basic principles of time encoding, this follow-up article describes and compares the main time-encoding architectures for analog-to-digital converters (ADCs) and discusses the corresponding design challenges of the circuit blocks. The focus is on structures that avoid, as much as possible, the use of traditional analog blocks like operational amplifiers (opamps) or comparators but instead use digital circuitry, ring oscillators, flip-flops, counters, an so on. Our overview of the state of the art will show that these circuits can achieve excellent performance. The obvious benefit of this highly digital approach to realizing analog functionality is that the resulting circuits are small in area and more compatible with CMOS process scaling. The approach also allows for the easy integration of these analog functions in systems on chip operating at "digital" supply voltages as low as 1V and lower. A large part of the design process can also be embedded in a standard digital synthesis flow

Implementation of Industrial Narrow Band Communication System into SDR Concept

The rapid expansion of the digital signal processing has penetrated recently into a sphere of high performance industrial narrow band communication systems which had been for long years dominated by the traditional analog circuit design. Although it brings new potential to even increase the efficiency of the radio channel usage it also forces new challenges and compromises radio designers have to face. In this article we describe the design of the IF sampling industrial narrowband radio receiver, optimize a digital receiver structure implemented in a single FPGA circuit and study the performance of such radio receiver architecture. As an evaluation criterion the communication efficiency in form of maximum usable receiver sensitivity, co-channel rejection, adjacent channel selectivity and radio blocking measurement have been selected

Discrete-Time receivers for software-defined radio: challenges and solutions

Abstract—CMOS radio receiver architectures, based on radio frequency (RF) sampling followed by discrete-time (DT) signal processing via switched-capacitor circuits, have recently been proposed for dedicated radio standards. This paper explores the suitability of such DT receivers for highly flexible softwaredefined radio (SDR) receivers. Via symbolic analysis and simulations we analyze the properties of DT receivers, and show that at least three challenges exist to make a DT receiver work for SDR: 1) the sampling clock frequency is related to the radio frequency, complicating baseband filter design; 2) a frequencydependent phase shift is introduced by pseudo-quadrature and pseudo-differential sampling; 3) the conversion gain of a charge sampling front-end is strongly frequency-dependent. Some potential solutions are also suggested for each challenge. Compared to a mixer based radio receiver, extra costs are needed to solve these problems

Ring-oscillator with multiple transconductors for linear analog-to-digital conversion

This paper proposes a new circuit-based approach to mitigate nonlinearity in open-loop ring-oscillator-based analog-to-digital converters (ADCs). The approach consists of driving a current-controlled oscillator (CCO) with several transconductors connected in parallel with different bias conditions. The current injected into the oscillator can then be properly sized to linearize the oscillator, performing the inverse current-to-frequency function. To evaluate the approach, a circuit example has been designed in a 65-nm CMOS process, leading to a more than 3-ENOB enhancement in simulation for a high-swing differential input voltage signal of 800-mVpp, with considerable less complex design and lower power and expected area in comparison to state-of-the-art circuit based solutions. The architecture has also been checked against PVT and mismatch variations, proving to be highly robust, requiring only very simple calibration techniques. The solution is especially suitable for high-bandwidth (tens of MHz) medium-resolution applications (10–12 ENOBs), such as 5G or Internet-of-Things (IoT) devices.This research was funded by Project TEC2017-82653-R, Spain

A Highly Digital VCO-Based ADC With Lookup-Table-Based Background Calibration

CMOS technology scaling has enabled dramatic improvement for digital circuits both in terms of speed and power efficiency. However, most traditional analog-to-digital converter (ADC) architectures are challenged by ever-decreasing supply voltage. The improvement in time resolution enabled by increased digital speeds drives design towards time-domain architectures such as voltage-controlled-oscillator (VCO) based ADCs. The main challenge in VCO-based ADC design is mitigating the nonlinearity of VCO Voltage-to-frequency (V-to-f) characteristics. Achieving signal-to-noise ratio (SNR) performance better than 40dB requires some form of calibration, which can be realized by analog or digital techniques, or some combination. This dissertation proposes a highly digital, reconfigurable VCO-based ADC with lookup-table (LUT) based background calibration based on split ADC architecture. Each of the two split channels, ADC A and B , contains two VCOs in a differential configuration. This helps alleviate even-order distortions as well as increase the dynamic range. A digital controller on chip can reconfigure the ADCs\u27 sampling rates and resolutions to adapt to various application scenarios. Different types of input signals can be used to train the ADC’s LUT parameters through the simple, anti-aliasing continuous-time input to achieve target resolution. The chip is fabricated in a 180 nm CMOS process, and the active area of analog and digital circuits is 0.09 and 0.16mm^2, respectively. Power consumption of the core ADC function is 25 mW. Measured results for this prototype design with 12-b resolution show ENOB improves from uncorrected 5-b to 11.5-b with calibration time within 200 ms (780K conversions at 5 MSps sample rate)

Ultra-low-power circuits and systems for wearable and implantable medical devices

Thesis (Ph. D.)--Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013.Cataloged from PDF version of thesis.Includes bibliographical references (pages 219-231).Advances in circuits, sensors, and energy storage elements have opened up many new possibilities in the health industry. In the area of wearable devices, the miniaturization of electronics has spurred the rapid development of wearable vital signs, activity, and fitness monitors. Maximizing the time between battery recharge places stringent requirements on power consumption by the device. For implantable devices, the situation is exacerbated by the fact that energy storage capacity is limited by volume constraints, and frequent battery replacement via surgery is undesirable. In this case, the design of energy-efficient circuits and systems becomes even more crucial. This thesis explores the design of energy-efficient circuits and systems for two medical applications. The first half of the thesis focuses on the design and implementation of an ultra-low-power, mixed-signal front-end for a wearable ECG monitor in a 0.18pm CMOS process. A mixed-signal architecture together with analog circuit optimizations enable ultra-low-voltage operation at 0.6V which provides power savings through voltage scaling, and ensures compatibility with state-of-the-art DSPs. The fully-integrated front-end consumes just 2.9[mu]W, which is two orders of magnitude lower than commercially available parts. The second half of this thesis focuses on ultra-low-power system design and energy-efficient neural stimulation for a proof-of-concept fully-implantable cochlear implant. First, implantable acoustic sensing is demonstrated by sensing the motion of a human cadaveric middle ear with a piezoelectric sensor. Second, alternate energy-efficient electrical stimulation waveforms are investigated to reduce neural stimulation power when compared to the conventional rectangular waveform. The energy-optimal waveform is analyzed using a computational nerve fiber model, and validated with in-vivo ECAP recordings in the auditory nerve of two cats and with psychophysical tests in two human cochlear implant users. Preliminary human subject testing shows that charge and energy savings of 20-30% and 15-35% respectively are possible with alternative waveforms. A system-on-chip comprising the sensor interface, reconfigurable sound processor, and arbitrary-waveform neural stimulator is implemented in a 0.18[mu]m high-voltage CMOS process to demonstrate the feasibility of this system. The sensor interface and sound processor consume just 12[mu]W of power, representing just 2% of the overall system power which is dominated by stimulation. As a result, the energy savings from using alternative stimulation waveforms transfer directly to the system.by Marcus Yip.Ph.D

Channelization for Multi-Standard Software-Defined Radio Base Stations

As the number of radio standards increase and spectrum resources come under more pressure, it becomes ever less efficient to reserve bands of spectrum for exclusive use by a single radio standard. Therefore, this work focuses on channelization structures compatible with spectrum sharing among multiple wireless standards and dynamic spectrum allocation in particular. A channelizer extracts independent communication channels from a wideband signal, and is one of the most computationally expensive components in a communications receiver. This work specifically focuses on non-uniform channelizers suitable for multi-standard Software-Defined Radio (SDR) base stations in general and public mobile radio base stations in particular. A comprehensive evaluation of non-uniform channelizers (existing and developed during the course of this work) shows that parallel and recombined variants of the Generalised Discrete Fourier Transform Modulated Filter Bank (GDFT-FB) represent the best trade-off between computational load and flexibility for dynamic spectrum allocation. Nevertheless, for base station applications (with many channels) very high filter orders may be required, making the channelizers difficult to physically implement. To mitigate this problem, multi-stage filtering techniques are applied to the GDFT-FB. It is shown that these multi-stage designs can significantly reduce the filter orders and number of operations required by the GDFT-FB. An alternative approach, applying frequency response masking techniques to the GDFT-FB prototype filter design, leads to even bigger reductions in the number of coefficients, but computational load is only reduced for oversampled configurations and then not as much as for the multi-stage designs. Both techniques render the implementation of GDFT-FB based non-uniform channelizers more practical. Finally, channelization solutions for some real-world spectrum sharing use cases are developed before some final physical implementation issues are considered

High-Bandwidth Voltage-Controlled Oscillator based architectures for Analog-to-Digital Conversion

The purpose of this thesis is the proposal and implementation of data conversion open-loop architectures based on voltage-controlled oscillators (VCOs) built with ring oscillators (RO-based ADCs), suitable for highly digital designs, scalable to the newest complementary metal-oxide-semiconductor (CMOS) nodes. The scaling of the design technologies into the nanometer range imposes the reduction of the supply voltage towards small and power-efficient architectures, leading to lower voltage overhead of the transistors. Additionally, phenomena like a lower intrinsic gain, inherent noise, and parasitic effects (mismatch between devices and PVT variations) make the design of classic structures for ADCs more challenging. In recent years, time-encoded A/D conversion has gained relevant popularity due to the possibility of being implemented with mostly digital structures. Within this trend, VCOs designed with ring oscillator based topologies have emerged as promising candidates for the conception of new digitization techniques. RO-based data converters show excellent scalability and sensitivity, apart from some other desirable properties, such as inherent quantization noise shaping and implicit anti-aliasing filtering. However, their nonlinearity and the limited time delay achievable in a simple NOT gate drastically limits the resolution of the converter, especially if we focus on wide-band A/D conversion. This thesis proposes new ways to alleviate these issues. Firstly, circuit-based techniques to compensate for the nonlinearity of the ring oscillator are proposed and compared to equivalent state-of-the-art solutions. The proposals are designed and simulated in a 65-nm CMOS node for open-loop RO-based ADC architectures. One of the techniques is also validated experimentally through a prototype. Secondly, new ways to artificially increase the effective oscillation frequency are introduced and validated by simulations. Finally, new approaches to shape the quantization noise and filter the output spectrum of a RO-based ADC are proposed theoretically. In particular, a quadrature RO-based band-pass ADC and a power-efficient Nyquist A/D converter are proposed and validated by simulations. All the techniques proposed in this work are especially devoted for highbandwidth applications, such as Internet-of-Things (IoT) nodes or maximally digital radio receivers. Nevertheless, their field of application is not restricted to them, and could be extended to others like biomedical instrumentation or sensing.El propósito de esta tesis doctoral es la propuesta y la implementación de arquitecturas de conversión de datos basadas en osciladores en anillos, compatibles con diseños mayoritariamente digitales, escalables en los procesos CMOS de fabricación más modernos donde las estructuras digitales se ven favorecidas. La miniaturización de las tecnologías CMOS de diseño lleva consigo la reducción de la tensión de alimentación para el desarrollo de arquitecturas pequeñas y eficientes en potencia. Esto reduce significativamente la disponibilidad de tensión para saturar transistores, lo que añadido a una ganancia cada vez menor de los mismos, ruido y efectos parásitos como el “mismatch” y las variaciones de proceso, tensión y temperatura han llevado a que sea cada vez más complejo el diseño de estructuras analógicas eficientes. Durante los últimos años la conversión A/D basada en codificación temporal ha ganado gran popularidad dado que permite la implementación de estructuras mayoritariamente digitales. Como parte de esta evolución, los osciladores controlados por tensión diseñados con topologías de oscilador en anillo han surgido como un candidato prometedor para la concepción de nuevas técnicas de digitalización. Los convertidores de datos basados en osciladores en anillo son extremadamente sensibles (variación de frecuencia con respecto a la señal de entrada) así como escalables, además de otras propiedades muy atractivas, como el conformado espectral de ruido de cuantificación y el filtrado “anti-aliasing”. Sin embargo, su respuesta no lineal y el limitado tiempo de retraso alcanzable por una compuerta NOT restringen la resolución del conversor, especialmente para conversión A/D en aplicaciones de elevado ancho de banda. Esta tesis doctoral propone nuevas técnicas para aliviar este tipo de problemas. En primer lugar, se proponen técnicas basadas en circuito para compensar el efecto de la no linealidad en los osciladores en anillo, y se comparan con soluciones equivalentes ya publicadas. Las propuestas se diseñan y simulan en tecnología CMOS de 65 nm para arquitecturas en lazo abierto. Una de estas técnicas presentadas es también validada experimentalmente a través de un prototipo. En segundo lugar, se introducen y validan por simulación varias formas de incrementar artificialmente la frecuencia de oscilación efectiva. Para finalizar, se proponen teóricamente dos enfoques para configurar nuevas formas de conformación del ruido de cuantificación y filtrado del espectro de salida de los datos digitales. En particular, son propuestos y validados por simulación un ADC pasobanda en cuadratura de fase y un ADC de Nyquist de gran eficiencia en potencia. Todas las técnicas propuestas en este trabajo están destinadas especialmente para aplicaciones de alto ancho de banda, tales como módulos para el Internet de las cosas o receptores de radiofrecuencia mayoritariamente digitales. A pesar de ello, son extrapolables también a otros campos como el de la instrumentación biomédica o el de la medición de señales mediante sensores.Programa de Doctorado en Ingeniería Eléctrica, Electrónica y Automática por la Universidad Carlos III de MadridPresidente: Juan Pablo Alegre Pérez.- Secretario: Celia López Ongil.- Vocal: Fernando Cardes Garcí