Blocker Tolerant Radio Architectures

Future radio platforms have to be inexpensive and deal with a variety of co- existence issues. The technology trend during the last few years is towards system- on-chip (SoC) that is able to process multiple standards re-using most of the digital resources. A major bottle-neck to this approach is the co-existence of these standards operating at different frequency bands that are hitting the receiver front-end. So the current research is focused on the power, area and performance optimization of various circuit building blocks of a radio for current and incoming standards. Firstly, a linearization technique for low noise amplifiers (LNAs) called, Robust Derivative Superposition (RDS) method is proposed. RDS technique is insensitive to Process Voltage and Temperature (P.V.T.) variations and is validated with two low noise transconductance amplifier (LNTA) designs in 0.18µm CMOS technology. Measurement results from 5 dies of a resistive terminated LNTA shows that the pro- posed method improves IM3 over 20dB for input power up to -18dBm, and improves IIP_(3) by 10dB. A 2V inductor-less broadband 0.3 to 2.8GHz balun-LNTA employing the proposed RDS linearization technique was designed and measured. It achieves noise figure of 6.5dB, IIP3 of 16.8dBm, and P1dB of 0.5dBm having a power consumption of 14.2mW. The balun LNTA occupies an active area of 0.06mm2. Secondly, the design of two high linearity, inductor-less, broadband LNTAs employing noise and distortion cancellation techniques is presented. Main design issues and the performance trade-offs of the circuits are discussed. In the fully differential architecture, the first LNTA covers 0.1-2GHz bandwidth and achieves a minimum noise figure (NFmin) of 3dB, IIP_(3) of 10dBm and a P_(1dB) of 0dBm while dissipating 30.2mW. The 2^(nd) low power bulk driven LNTA with 16mW power consumption achieves NFmin of 3.4dB, IIP3 of 11dBm and 0.1-3GHz bandwidth. Each LNTA occupy an active area of 0.06mm2 in 45nm CMOS. Thirdly, a continuous-time low-pass ∆ΣADC equipped with design techniques to provide robustness against loop saturation due to blockers is presented. Loop over- load detection and correction is employed to improve the ADC’s tolerance to blockers; a fast overload detector activates the input attenuator, maintaining the ADC in linear operation. To further improve ADC’s blocker tolerance, a minimally-invasive integrated low-pass filter that reduces the most critical adjacent/alternate channel blockers is implemented. An ADC prototype is implemented in a 90nm CMOS technology and experimentally it achieves 69dB dynamic range over a 20MHz bandwidth with a sampling frequency of 500MHz and 17.1mW of power consumption. The alternate channel blocker tolerance at the most critical frequency is as high as -5.5dBFS while the conventional feed-forward modulator becomes unstable at -23.5dBFS of blocker power. The proposed blocker rejection techniques are minimally-invasive and take less than 0.3µsec to settle after a strong agile blocker appears. Finally, a new radio partitioning methodology that gives robust analog and mixed signal radio development in scaled technology for SoC integration, and the co-design of RF FEM-antenna system is presented. Based on the proposed methodology, a CMOS RF front-end module (FEM) with power amplifier (PA), LNA and transmit/receive switch, co-designed with antenna is implemented. The RF FEM circuit is implemented in a 32nm CMOS technology. Post extracted simulations show a noise figure < 2.5dB, S_(21) of 14dB, IIP3 of 7dBm and P1dB of -8dBm for the receiver. Total power consumption of the receiver is 11.8mW from a 1V supply. On the trans- mitter side, PA achieves peak RF output power of 22.34dBm with peak power added efficiency (PAE) of 65% and PAE of 33% with linearization at -6dB power back off. Simulations show an efficiency of 80% for the miniaturized dipole antenna

Low-Voltage Bulk-Driven Amplifier Design and Its Application in Implantable Biomedical Sensors

The powering unit usually represents a significant component of the implantable biomedical sensor system since the integrated circuits (ICs) inside for monitoring different physiological functions consume a great amount of power. One method to reduce the volume of the powering unit is to minimize the power supply voltage of the entire system. On the other hand, with the development of the deep sub-micron CMOS technologies, the minimum channel length for a single transistor has been scaled down aggressively which facilitates the reduction of the chip area as well. Unfortunately, as an inevitable part of analytic systems, analog circuits such as the potentiostat are not amenable to either low-voltage operations or short channel transistor scheme. To date, several proposed low-voltage design techniques have not been adopted by mainstream analog circuits for reasons such as insufficient transconductance, limited dynamic range, etc. Operational amplifiers (OpAmps) are the most fundamental circuit blocks among all analog circuits. They are also employed extensively inside the implantable biosensor systems. This work first aims to develop a general purpose high performance low-voltage low-power OpAmp. The proposed OpAmp adopts the bulk-driven low-voltage design technique. An innovative low-voltage bulk-driven amplifier with enhanced effective transconductance is developed in an n-well digital CMOS process operating under 1-V power supply. The proposed circuit employs auxiliary bulk-driven input differential pairs to achieve the input transconductance comparable with the traditional gate-driven amplifiers, without consuming a large amount of current. The prototype measurement results show significant improvements in the open loop gain (AO) and the unity-gain bandwidth (UGBW) compared to other works. A 1-V potentiostat circuit for an implantable electrochemical sensor is then proposed by employing this bulk-driven amplifier. To the best of the author’s knowledge, this circuit represents the first reported low-voltage potentiostat system. This 1-V potentiostat possesses high linearity which is comparable or even better than the conventional potentiostat designs thanks to this transconductance enhanced bulk-driven amplifier. The current consumption of the overall potentiostat is maintained around 22 microampere. The area for the core layout of the integrated circuit chip is 0.13 mm2 for a 0.35 micrometer process

A Closed-Loop Deep Brain Stimulation Device With a Logarithmic Pipeline ADC.

This dissertation is a summary of the research on integrated closed-loop deep brain stimulation for treatment of Parkinson’s disease. Parkinson's disease is a progressive disorder of the central nervous system affecting more than three million people in the United States. Deep Brain Stimulation (DBS) is one of the most effective treatments of Parkinson’s symptoms. DBS excites the Subthalamic Nucleus (STN) with a high frequency electrical signal. The proposed device is a single-chip closed-loop DBS (CDBS) system. Closed-loop feedback of sensed neural activity promises better control and optimization of stimulation parameters than with open-loop devices. Thanks to a novel architecture, the prototype system incorporates more functionality yet consumes less power and area compared to other systems. Eight front-end low-noise neural amplifiers (LNAs) are multiplexed to a single high-dynamic-range logarithmic, pipeline analog-to-digital converter (ADC). To save area and power consumption, a high dynamic-range log ADC is used, making analog automatic gain control unnecessary. The redundant 1.5b architecture relaxes the requirements for the comparator accuracy and comparator reference voltage accuracy. Instead of an analog filter, an on-chip digital filter separates the low frequency neural field potential signal from the neural spike energy. An on-chip controller generates stimulation patterns to control the 64 on-chip current-steering DACs. The 64 DACs are formed as a cascade of a single shared 2-bit coarse current DAC and 64 individual bi-directional 4-bit fine DACs. The coarse/fine configuration saves die area since the MSB devices tend to be large. Real-time neural activity was recorded with the prototype device connected to microprobes that were chronically implanted in two Long Evans rats. The recorded in-vivo signal clearly shows neural spikes of 10.2 dB signal-to-noise ratio (SNR) as well as a periodic artifact from neural stimulation. The recorded neural information has been analyzed with single unit sorting and principal component analysis (PCA). The PCA scattering plots from multi-layers of cortex represent diverse information from either single or multiple neural sources. The single-unit neural sorting analysis along with PCA verifies the feasibility of the implantable CDBS device for to in-vivo neural recording interface applications.Ph.D.Electrical EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/60733/1/milaca_1.pd

Micron-scale monolithically-integrated ultrasonic wireless sensing motes for physiological monitoring

There has been increasing interest in emerging implantable medical devices (IMDs) for continuous in vivo sensing of physiological signals, including temperature, PH, pressure, oxygen, and glucose, directly at the target locations. Many of these applications can benefit from wireless, miniaturized IMDs that eliminate the percutaneous power cords and facilitate the implantation procedures. This thesis describes such a device for real-time in vivo monitoring of physiological temperature, such as the monitoring of core body temperature and temperature evaluation during thermal-related therapeutic procedures. Featuring a custom temperature sensor chip with a micron-scale piezoelectric transducer fabricated on top of the chip, the monolithic device, in the form of a mote, measures only 380 μm × 300 μm × 570 μm and weighs only 0.3 mg. The device utilizes ultrasound for wireless powering and communication through the on-chip transducer and achieves aggressive miniaturization through “chip-as-system” integration. The proposed motes were successfully validated in both in vitro experiments with animal tissues and in vivo settings with a mouse model. Compared to the state-of-the-art and equivalent commercial devices, the motes performed comparably or better in a fully-wireless manner while presenting a more compact form factor. Such extreme miniaturization through monolithic integration enables multiple of these motes to be implanted/injected using minimally invasive surgeries with improved biocompatibility and reduced subject discomfort. This offers new approaches for localized in vivo monitoring of spatially-fine-grained temperature distributions and also provides a platform for sensing other types of physiological parameters

Polyvinylidene fluoride - based MEMS tactile sensor for minimally invasive surgery

Minimally invasive surgery (MIS) procedures have been growing rapidly for the past couple of decades. In MIS operations, endoscopic tools are inserted through a small incision on human's body. Although these procedures have many advantages such as fast recovery time, minimum damage to human body and reduced post operative complications, it does not provide any tactile feedback to the surgeon. This thesis reports on design, finite element analysis, fabrication and testing of a micromachined piezoelectric endoscopic tactile sensor. Similar to the commercial endoscopic graspers, the sensor is teeth like in order to grasp slippery tissues. It consists of three layers; the first layer is a silicon layer of teeth shapes on the top and two supports at the bottom forming a thin plate and a U-Channel. The second layer is a patterned Polyvinylidene Fluoride (PVDF) film, and the third layer is a supporting Plexiglas. The patterned PVDF film was placed on the middle between the other two layers. When a concentric load is applied to the sensor, the magnitude and the position of the applied load are obtained from the outputs of the sensing elements which are sandwiched between the silicon supports and the Plexiglas. In addition, when a soft object/tissue is place on the sensor and load is applied the degree of the softness/compliance of the object is obtained from the outputs from the middle PVDF sensing elements, which are glued to the back of the thin silicon plate. The outputs are related to the deformation of the silicon plate which related to the contacting object softness. The sensor has high sensitivity and high dynamic range as a result it can potentially detect a small dynamic load such as a pulse load as well as a high load such as a firm grasping of a tissue by an endoscopic grasper. The entire surface of the tactile sensor is also active, which is an advantage in detecting the precise position of the applied point load on the grasper. The finite element analysis and experimental results are in close agreement with each other. The sensor can potentially be integrated with the gasper of a commercially available endoscopic graspe

Adaptive beam control and analysis in fluorescence microscopy

This thesis details three novel advances in instrumentation that are each related to performance improvement in wide-field visible-spectrum imaging systems. In each case our solution concerns the assessment and improvement of optical imaging quality. The three instruments are as follows: The first is a portable transmission microscope which is able to correct for artificially induced aberrations using adaptive optics (AO). The specimens and the method of introducing aberrations into the optical system can be altered to simulate the performance of AO-correction in both astronomical and biological imaging. We present the design and construction of the system alongside before-and-after AO-correction images for simulated astronomical and biological images. The second instrument is a miniature endoscope camera sensor we re-purposed for use as a quantitative beam analysis probe using a custom high dynamic range (HDR) imaging and reconstruction procedure. This allowed us to produce quantitative flux maps of the illumination beam intensity profile within several operational fluorescence microscope systems. The third and final project in this thesis was concerned with an adaptive modification to the light sheet illumination beam used in light sheet microscopy, specifically for a single plane illumination microscope (SPIM), embracing the trade-off between the thickness of the light sheet and its extent across the detection field-of-view. The focal region of the beam was made as small as possible and then matched to the shape of curved features within a biological specimen by using a spatial light modulator (SLM) to alter the light sheet focal length throughout the vertical span of the sheet. We used the HDR beam profiling camera probe mentioned earlier to assess the focal shape and quality of the beam. The resulting illumination beam may in the future be used in a modified SPIM system to produce fluorescence microscope images with enhanced optical sectioning of specific curved features

Reconfigurable Fiducial-Integrated Modular Needle Driver For MRI-Guided Percutaneous Interventions

Needle-based interventions are pervasive in Minimally Invasive Surgery (MIS), and are often used in a number of diagnostic and therapeutic procedures, including biopsy and brachytherapy seed placement. Magnetic Resonance Imaging (MRI) which can provide high quality, real time and high soft tissue contrast imaging, is an ideal guidance tool for image-guided therapy (IGT). Therefore, a MRI-guided needle-based surgical robot proves to have great potential in the application of percutaneous interventions. Presented here is the design of reconfigurable fiducial-integrated modular needle driver for MRI-guided percutaneous interventions. Further, an MRI-compatible hardware control system has been developed and enhanced to drive piezoelectric ultrasonic motors for a previously developed base robot designed to support the modular needle driver. A further contribution is the development of a fiber optic sensing system to detect robot position and joint limits. A transformer printed circuit board (PCB) and an interface board with integrated fiber optic limit sensing have been developed and tested to integrate the robot with the piezoelectric actuator control system designed by AIM Lab for closed loop control of ultrasonic Shinsei motors. A series of experiments were performed to evaluate the feasibility and accuracy of the modular needle driver. Bench top tests were conducted to validate the transformer board, fiber optic limit sensing and interface board in a lab environment. Finally, the whole robot control system was tested inside the MRI room to evaluate its MRI compatibility and stability

Ultra-thin and flexible CMOS technology: ISFET-based microsystem for biomedical applications

A new paradigm of silicon technology is the ultra-thin chip (UTC) technology and the emerging applications. Very thin integrated circuits (ICs) with through-silicon vias (TSVs) will allow the stacking and interconnection of multiple dies in a compact format allowing a migration towards three-dimensional ICs (3D-ICs). Also, extremely thin and therefore mechanically bendable silicon chips in conjunction with the emerging thin-film and organic semiconductor technologies will enhance the performance and functionality of large-area flexible electronic systems. However, UTC technology requires special attention related to the circuit design, fabrication, dicing and handling of ultra-thin chips as they have different physical properties compared to their bulky counterparts. Also, transistors and other active devices on UTCs experiencing variable bending stresses will suffer from the piezoresistive effect of silicon substrate which results in a shift of their operating point and therefore, an additional aspect should be considered during circuit design. This thesis tries to address some of these challenges related to UTC technology by focusing initially on modelling of transistors on mechanically bendable Si-UTCs. The developed behavioural models are a combination of mathematical equations and extracted parameters from BSIM4 and BSIM6 modified by a set of equations describing the bending-induced stresses on silicon. The transistor models are written in Verilog-A and compiled in Cadence Virtuoso environment where they were simulated at different bending conditions. To complement this, the verification of these models through experimental results is also presented. Two chips were designed using a 180 nm CMOS technology. The first chip includes nMOS and pMOS transistors with fixed channel width and two different channel lengths and two different channel orientations (0° and 90°) with respect to the wafer crystal orientation. The second chip includes inverter logic gates with different transistor sizes and orientations, as in the previous chip. Both chips were thinned down to ∼20m using dicing-before-grinding (DBG) prior to electrical characterisation at different bending conditions. Furthermore, this thesis presents the first reported fully integrated CMOS-based ISFET microsystem on UTC technology. The design of the integrated CMOS-based ISFET chip with 512 integrated on-chip ISFET sensors along with their read-out and digitisation scheme is presented. The integrated circuits (ICs) are thinned down to ∼30m and the bulky, as well as thinned ICs, are electrically and electrochemically characterised. Also, the thesis presents the first reported mechanically bendable CMOS-based ISFET device demonstrating that mechanical deformation of the die can result in drift compensation through the exploitation of the piezoresistive nature of silicon. Finally, this thesis presents the studies towards the development of on-chip reference electrodes and biodegradable and ultra-thin biosensors for the detection of neurotransmitters such as dopamine and serotonin

Integrated CMOS Capacitance Sensor And Microactuator Control Circuits For On-Chip Cell Monitoring

"Cell Clinics," CMOS/MEMS hybrid microsystems for on-chip investigation of biological cells, are currently being engineered for a broad spectrum of applications including olfactory sensing, pathogen detection, cytotoxicity screening and biocompatibility characterization. In support of this effort, this research makes two primary contributions towards designing the cell-based lab-on-a-chip systems. Firstly it develops CMOS capacitance sensors for characterizing cell-related properties including cell-surface attachment, cell health and growth. Assessing these properties is crucial to all kinds of cell applications. The CMOS sensors measure substrate coupling capacitances of anchorage-dependent cells cultured on-chip in a standard in vitro environment. The biophysical phenomenon underlying the capacitive behavior of cells is the counterionic polarization around the insulating cell bodies when exposed to weak, low frequency electric fields. The measured capacitance depends on a variety of factors related to the cell, its growth environment and the supporting substrate. These include membrane integrity, morphology, adhesion strength and substrate proximity. The demonstrated integrated cell sensing technique is non-invasive, easy-to-use and offers the unique advantage of automated real time cell monitoring without the need for disruptive external forces or biochemical labeling. On top of the silicon-based cell sensing platform, the cell clinics microsystem comprises MEMS structures forming an array of lidded microvials for confining single cells or small cell groups within controllable microenvironments in close proximity to the sensor sites. The opening and closing of the microvial lids are controlled by actuator hinges employing an electroactive polymer material that can electrochemically actuate. In macro-scale setups such electrochemical actuation reactions are controlled by an electronic instrument called potentiostat. In order to enable system miniaturization and enhance portability of cell clinics, this research makes its second contribution by implementing and demonstrating a CMOS potentiostat module for in situ control of the MEMS actuators

MEMS Technology for Biomedical Imaging Applications

Biomedical imaging is the key technique and process to create informative images of the human body or other organic structures for clinical purposes or medical science. Micro-electro-mechanical systems (MEMS) technology has demonstrated enormous potential in biomedical imaging applications due to its outstanding advantages of, for instance, miniaturization, high speed, higher resolution, and convenience of batch fabrication. There are many advancements and breakthroughs developing in the academic community, and there are a few challenges raised accordingly upon the designs, structures, fabrication, integration, and applications of MEMS for all kinds of biomedical imaging. This Special Issue aims to collate and showcase research papers, short commutations, perspectives, and insightful review articles from esteemed colleagues that demonstrate: (1) original works on the topic of MEMS components or devices based on various kinds of mechanisms for biomedical imaging; and (2) new developments and potentials of applying MEMS technology of any kind in biomedical imaging. The objective of this special session is to provide insightful information regarding the technological advancements for the researchers in the community