ULTRA LOW POWER FSK RECEIVER AND RF ENERGY HARVESTER

This thesis focuses on low power receiver design and energy harvesting techniques as methods for intelligently managing energy usage and energy sources. The goal is to build an inexhaustibly powered communication system that can be widely applied, such as through wireless sensor networks (WSNs). Low power circuit design and smart power management are techniques that are often used to extend the lifetime of such mobile devices. Both methods are utilized here to optimize power usage and sources. RF energy is a promising ambient energy source that is widely available in urban areas and which we investigate in detail. A harvester circuit is modeled and analyzed in detail at low power input. Based on the circuit analysis, a design procedure is given for a narrowband energy harvester. The antenna and harvester co-design methodology improves RF to DC energy conversion efficiency. The strategy of co-design of the antenna and the harvester creates opportunities to optimize the system power conversion efficiency. Previous surveys have found that ambient RF energy is spread broadly over the frequency domain; however, here it is demonstrated that it is theoretically impossible to harvest RF energy over a wide frequency band if the ambient RF energy source(s) are weak, owing to the voltage requirements. It is found that most of the ambient RF energy lies in a series of narrow bands. Two different versions of harvesters have been designed, fabricated, and tested. The simulated and measured results demonstrate a dual-band energy harvester that obtains over 9% efficiency for two different bands (900MHz and 1800MHz) at an input power as low as -19dBm. The DC output voltage of this harvester is over 1V, which can be used to recharge the battery to form an inexhaustibly powered communication system. A new phase locked loop based receiver architecture is developed to avoid the significant conversion losses associated with OOK architectures. This also helps to minimize power consumption. A new low power mixer circuit has also been designed, and a detailed analysis is provided. Based on the mixer, a low power phase locked loop (PLL) based receiver has been designed, fabricated and measured. A power management circuit and a low power transceiver system have also been co-designed to provide a system on chip solution. The low power voltage regulator is designed to handle a variety of battery voltage, environmental temperature, and load conditions. The whole system can work with a battery and an application specific integrated circuit (ASIC) as a sensor node of a WSN network

3.3V DC Output At-16dBm Sensitivity And 77% PCE Rectifier For RF Energy Harvesting

This paper presents a high voltage conversion at high sensitivity RF energy harvesting system for IoT applications. The harvesting system comprises bulk-to-source (BTMOS) differential-drive based rectifier to produce a high efficiency RF energy harvesting system. Low-pass upward impedance matching network is applied at the rectifier input to increase the sensitivity and output voltage. Dual-oxide-thickness transistors are used in the rectifier circuit to maintain the power efficiency at each stage of the rectifier. The system is designed using 0.18μm Silterra RF in deep n-well process technology and achieves 4.07V output at -16dBm sensitivity without the need of complex auxiliary control circuit and DC-DC charge-pump circuit. The system is targeted for urban environment

Analog Front End for RF Energy Harvesting

This thesis proposes a design for ultra low power sensitive single and dual band RF energy harvesting system for UHF microwave frequencies at 2.4-GHz and 865-MHz to 960- MHz(ISM band). The system is designed to power a load and generate a constant 1-V output voltage for a battery-less passive energy harvesting circuit. Input power is fed from 50 RF source to emulate antenna at UHF microwave band. The design includes single band and dual band off-chip RF matching circuit, RF limiter, Differential Rectifier, Power On Reset (POR), Band Gap Reference (BGR) and Low Drop Out Regulator (LDO). The number of rectifier stages is optimized to obtain a better efficiency to generate 1V output voltage. The full system performance has been verified by simulations for equivalent received power from -20-dBm to -10-dBm. The overall RF energy harvesting system efficiency at -14-dBm (10 m Distance from 4W EIRP source) input power for single band matching at 2.4-GHz is 46.9% with 54Kohm load and for dual band matching at 953-MHz and 2.4-GHz we achieve an efficiency of 41.5% with 61K ohm load and 46% with load 54.4Kohm respectively. The technology node employed is 0.18_m technology. The simulations are carried out at schematic level with bond wire parasitic’s and verified by post layout simulation. At the last we conclude by proposing a novel architecture for constant voltage battery charging

Comparation of common ultra-low power harvesting RF rectifier circuits

This project has analysed and compared different types of common RF Harvesting rectifier circuits for ultra-low power. An antenna has been used as an energy harvesting element and the power available in the environment has been analysed, specifically in the GAEMI laboratories of the UAB. The simulations were carried out using the Keysisght ADS software. It has been demonstrated, by means of simulation, that the simple rectifier shows a higher efficiency than the other rectifiers and that the value of the load resistance is the predominant element in the calculation of this efficiency. It has been experimentally confirmed that the measurements do not deviate from the simulated measurements. The results obtained can be applied to the generation of prototypes of RF Harvesting systems

Powering IoT Sensors with RF Energy Harvesting

There is a need to power Internet of Things (IoT) applications that require frequent, expensive, and/or dangerous battery replacements. Radio-frequency energy harvesting (RFEH) is a possible alternative source of power for select IoT sensor applications. In comparison to other methods of energy harvesting, RFEH has the smallest incident power densities and therefore comes with many design challenges. In this project we implement a novel RFEH system powered via a dedicated transmitter. A planar inverted-F antenna (PIFA) and voltage doubler circuit form the designed rectenna (rectifier + antenna) and the system is implemented on a custom PCB to carry out RF-to-DC conversion. The system’s feasibility is demonstrated by powering a commercial power management unit (PMU) and temperature sensor over a test duration of eight hours

An IC architecture for RF Energy Harvesting systems

In this work we present an IC architecture for RF energy harvesting. The system has been designed with a 0.18μm CMOS SMIC technology and optimized at 900MHz. Simulation results have confirmed that the integrated system handles an incoming power typically ranging from -25 dBm to 20 dBm by rectifying the variable input signals into a DC voltage source with an overall efficiency up to 50%. The chip area estimation for the proposed system is as low as 3x3mm2

Active Safety System with RF Energy Harvesting Capabilities for Industrial Applications using Interchangeable Implements

In this paper a system for the remote powering of low power electronic devices is presented. The system has been applied to a real industrial application allowing to enhance active safety in industrial vehicles. It is comprised of two main devices: i) the End Device (ED) with an embedded Radio Frequency (RF) energy harvester; ii) the Illuminator-Gateway Device (IGD) with an embedded RF power transmitter. Thanks to the optimization of the customized dual band Planar Inverted Folded Antenna (PIFA) used, the ULP architecture of the ED, the hardware-software co-design approach used and the optimization of the ED firmware, the proposed system is able to provide up to the 63% of the power required by the ED when it is on duty

Leveraging Backscatter for Ultra-low Power Wireless Sensing Systems

The past few years have seen a dramatic growth in wireless sensing systems, with millions of wirelessly connected sensors becoming first-class citizens of the Internet. The number of wireless sensing devices is expected to surpass 6.75 billion by 2017, more than the world\u27s population as well as the combined market of smartphones, tablets, and PCs. However, its growth faces two pressing challenges: battery energy density and wireless radio power consumption. Battery energy density looms as a fundamental limiting factor due to slow improvements over the past several decades (3x over 22 years). Wireless radio power consumption is another key challenge because high-speed wireless communication is often far more expensive energy-wise than computation, storage and sensing. To make matters worse, wireless sensing devices are generating an increasing amount of data. These challenges raise a fundamental question --- how should we power and communicate with wireless sensing devices. More specifically, instead of using batteries, can we leverage other energy sources to reduce, if not eliminate, the dependence on batteries? Similarly, instead of optimizing existing wireless radios, can we fundamentally change how radios transmit wireless signals to achieve lower power consumption? A promising technique to address these questions is backscatter --- a primitive that enables RF energy harvesting and ultra-low-power wireless communication. Backscatter has the potential to reduce dependence on batteries because it can obtain energy by rectifying the wireless signals transmitted by a backscatter reader. Backscatter can also work by reflecting existing wireless signals (WiFi, BLE) when these are available nearby. Because signal reflection only consumes uWs of power, backscatter can enable ultra-low-power wireless communication. However, the use of backscatter for communicating with wireless sensing devices presents several challenges. First, decreasing RF power across distance limits the operational range of micro-powered backscatter devices. This raises the question of how to maintain a communication link with a backscatter device despite tiny amount of harvested power. Second, even though the backscatter RF front-end is extremely power-efficient, the computational and sensing overhead on backscatter sensors limit its ability to operate with a few micro-Watts of power. Such overhead is a negligible factor of overall power consumption for platforms where radio power consumption is high (e.g. WiFi or Bluetooth based devices). However, it becomes the bottleneck for backscatter based platforms. Third, backscatter readers are not currently deployed in existing indoor environments to provide a continuous carrier for carrying backscattered information. As a result, backscatter deployment is not yet widespread. This thesis addresses these challenges by making the following contributions. First, we design a network stack that enables continuous operation despite decreasing harvested power across distance by employing an OS abstraction --- task fragmentation. We show that such a network stack enables packet transfer even when the whole system is powered by a 3cmx3cm solar panel under natural indoor light condition. Second, we design a hardware architecture that minimizes the computational overhead of backscatter to enable over 1Mbps backscatter transmission while consuming less than 100uWs of power, a two order of magnitude improvement over the state-of-the-art. Finally, we design a system that can leverage both ambient WiFi and BLE signals for backscatter. Our empirical evaluation shows that we can backscatter 500bps data on top of a WiFi stream and 50kbps data on top of a Bluetooth stream when the backscatter device is 3m away from the commercial WiFi and Bluetooth receivers

Efficient RF energy scavenging and ultra-low power management for powering wireless sensor nodes

As the demand for real-time information in engineering and health care systems keeps increasing, the need for wireless sensor nodes is also continuously increasing. As a result, the cost and effort involved in installing and maintaining batteries to power the numerous sensor nodes is growing exponentially. Providing a cost effective and maintenance free alternate energy source is the motivation behind the development of energy scavenging solutions for self-powered sensor networks. In this research, an energy scavenging system that extracts energy from ambient radio-frequency waves transmitted in the 2.4GHz ISM band is designed. The harvested energy is efficiently managed with an ultra low-power switched capacitor buck-boost DC-DC converter to wirelessly power the nodes in a wireless sensor network. Analysis and optimization of the number of rectifier stages required to achieve efficient power conversion is carried out. To improve far field conversion efficiency and extend the scavenger sensitivity, the threshold voltage of the diodes in the rectifiers are reduced to about 50mV by using the floating-gate programming technique.The active power consumption of the switched-capacitor DC-DC converter is around 1.2μW. A micro-power analog to digital converter for variable gain selection and a sub-threshold linear voltage regulator for providing the start-up, are designed. The integrated system provides a fully autonomous micro-energy scavenging solution for the sensor nodes. The simulated results suggest that the scavenger achieves a 10% higher con- version efficiency than the most recently reported work. The operational distance of this improved energy scavenging solution is 6 meters (in free space) from an intentional RF transmitter operating under FCC specifications at 2.4GHz. The targeted application of this research is to provide an alternate energy solution for low power devices, including wireless sensor nodes and bio-medical applications

Energy-Efficient Wireless Circuits and Systems for Internet of Things

As the demand of ultra-low power (ULP) systems for internet of thing (IoT) applications has been increasing, large efforts on evolving a new computing class is actively ongoing. The evolution of the new computing class, however, faced challenges due to hard constraints on the RF systems. Significant efforts on reducing power of power-hungry wireless radios have been done. The ULP radios, however, are mostly not standard compliant which poses a challenge to wide spread adoption. Being compliant with the WiFi network protocol can maximize an ULP radio’s potential of utilization, however, this standard demands excessive power consumption of over 10mW, that is hardly compatible with in ULP systems even with heavy duty-cycling. Also, lots of efforts to minimize off-chip components in ULP IoT device have been done, however, still not enough for practical usage without a clean external reference, therefore, this limits scaling on cost and form-factor of the new computer class of IoT applications. This research is motivated by those challenges on the RF systems, and each work focuses on radio designs for IoT applications in various aspects. First, the research covers several endeavors for relieving energy constraints on RF systems by utilizing existing network protocols that eventually meets both low-active power, and widespread adoption. This includes novel approaches on 802.11 communication with articulate iterations on low-power RF systems. The research presents three prototypes as power-efficient WiFi wake-up receivers, which bridges the gap between industry standard radios and ULP IoT radios. The proposed WiFi wake-up receivers operate with low power consumption and remain compatible with the WiFi protocol by using back-channel communication. Back-channel communication embeds a signal into a WiFi compliant transmission changing the firmware in the access point, or more specifically just the data in the payload of the WiFi packet. With a specific sequence of data in the packet, the transmitter can output a signal that mimics a modulation that is more conducive for ULP receivers, such as OOK and FSK. In this work, low power mixer-first receivers, and the first fully integrated ultra-low voltage receiver are presented, that are compatible with WiFi through back-channel communication. Another main contribution of this work is in relieving the integration challenge of IoT devices by removing the need for external, or off-chip crystals and antennas. This enables a small form-factor on the order of mm3-scale, useful for medical research and ubiquitous sensing applications. A crystal-less small form factor fully integrated 60GHz transceiver with on-chip 12-channel frequency reference, and good peak gain dual-mode on-chip antenna is presented.PHDElectrical and Computer EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/162975/1/jaeim_1.pd