127 research outputs found
Progress of analog-hybrid computation
Review of fast analog/hybrid computer systems, integrated operational amplifiers, electronic mode-control switches, digital attenuators, and packaging technique
802.15.4 Low Intermediate Frequency Radio Receiver
This project involves the design, building, and testing of a low intermediate frequency 802.15.4 receiver that uses an FPGA to perform final demodulation to baseband
Gated multi-cycle integration (GMCI) for focal plane array (FPA) applications
In this thesis, the model and the theory of gated multi-cycle integration (GMCI) were first developed specifically for focal plane array dealing with repetitive or modulated image. The operational modes of GMCI include gated integration (GI), phase sensitive integration (PSI), multi-point summation, multi-point subtraction, multi-sample averaging and some of their combinations. Thus, the analytic theory of GMCI somehow unifies the theories of gated integration, phase sensitive detection, multiple summation and average. PSI works with background and/or dark current subtraction. As a result, the storage well of a pixel is mainly used for signal integration even if there exists a strong background. Thus, the signal-to-noise ratio, the dynamic range, the sensitivity of the detection and the noise equivalent temperature are greatly improved. For a storage well of 106 electrons, the sensitivity of the FPA operated at PSI mode could be improved by 3 orders. In addition, the transmission windows of PSI peak at odd harmonics of the modulation frequency, and therefore, the detector\u27s IN and other low frequency noise can be attenuated.
A switched capacitor integrator was designed and fabricated with HP-0.5gm CMOS processing to demonstrate the feasibility of GMCI. The primary experimental results showed that the minimum detectable signal could be 5 orders less than the background, which is impossible for the conventional readout methods employed by current staring FPAs. The fixed patterns associated with switching charge injection, feedthrough, offset voltage of operational amplifier were addressed and suppressed by taking the differentia of two sampled voltages that correspond to signal integrations with 180° phase difference while keeping the same fixed pattern. GMCI, operated at PSI with multiple averages, is expected to become a powerful method in dealing with repetitive weak image swamped by strong background
Millimetre wave remote sensing of the atmosphere
Recent advances in millimetre wave technology has opened up a new region of the spectrum to remote sensing from artificial satellites. The main part of this work involves a millimetre wave proving experiment for a satellite borne millimetre wave active sounder to measure surface pressure over the oceans. The Microwave Pressure Sounder is a6 channel, low power radar operating in the spectral range from 24 to 75 GHz. The strength of the return echoes from the sea surface determines the amount of oxygen in the path which can be directly related to the surface pressure to an accuracy of 1 mb, when corrected for sea surface reflectivity and atmospheric temperature and water content by this multichannel instrument. Measurements of atmospheric attenuation along a horizontal path were related to atmospheric pressure changes by a millimetre wave instrument built at Heriot-Watt University. The transmissometer measured the differential absorption between two frequencies (54 and 58 GHz) over a 650 metre path. The deduced atmospheric pressure was found to compare with the barometric pressure with a standard deviation of two millibars for the best data set. These results demonstrate that atmospheric attenuation can be measured with sufficient precision for a satellite borne instrument to determine the surface atmospheric pressure over the oceans to an accuracy of approximately one millibar. This accuracy would lead to significant improvements in the modelling of the atmosphere and weather forecasting. Various other techniques to remotely sense surface atmospheric pressure are reviewed. Recently, increased awareness of the sensitivity of the environment and evidence of the effects of man-made pollutants has given rise to an increased awareness in the health of the Earth and led to several instruments being developed to monitor our planet. One of these instruments, the Microwave Limb Sounder to be flown on the Upper Atmosphere Research Satellite (launch October 1991) is described. This instrument uses millimetre wave radiometers at 63 GHz, 183 GHz and 205 GHz to measure the amount of chlorine oxide, ozone and water vapour in the upper atmosphere. These gases are important in understanding the photochemistry of the mesosphere. Global distributions of the gases will be produced and changes in concentration will be monitored during the three year mission
Borman Expressway Point-to-Point Wireless Modem
The Federal Highway Administration has a nationwide allocation of five frequency pairs in the 220-222 MHz Narrowband Radio Services band which are intended for application in Intelligent Transportation Systems. These frequencies are available for use by state DOTs (subject to FHWA approval) and provide an attractive solution for certain low to medium bit rate data communications applications. However, given the limited bandwidth available in these channels, very efficient modems will be required to make maximum beneficial use of this resource. The goal of this project was to design, field test, and deploy a digital radio which uses the 220-222 MHz spectral allocation and is suitable for stationary point-to-point data communications applications. The target application for this project was the control (pan, tilt, and zoom) of a video camera located at the interchange of I-65 and the Borman Expressway. The wireless link extends from the camera location to the traffic operations center (approximately 1.5 miles). There were three main tasks needed to produce a deployable modem: 1) interface circuitry was required between the 220 MHz modem and the camera control keypad and the camera pan/tilt/zoom receiver, 2) the fabrication of a compact and rugged transmitter was required, and 3) the fabrication of a compact and rugged receiver was required. The receiver size constraints were more exacting than those of the transmitter as the receiver is deployed in a roadside cabinet, while the transmitter is deployed in the traffic management center. The work plan was divided into a set of twelve tasks. The 220 MHz modem can serve INDOT as a general purpose link for low to medium rate data communications in a wide variety of applications. The most significant issue outstanding with regard to widespread implementation of the technology is the mass production cost and the availability of a reliable source of production versions of the device. Efforts are continuing at both Purdue and Ohio State toward further simplifications aimed at complexity reduction in the receiver. As topics for further study, the following should be considered: 1) a detailed cost/benefit analysis should be made comparing the 220 MHz technology to other alternative technologies, and 2) a preliminary design study of interoperability issues should be performed for the 220 MHz technology in transportation applications
Framework of Real-Time Optical Nyquist-WDM Receiver using Matlab & Simulink
I investigate an optical Nyquist-WDM Bit Error Rate (BER) detection system. A transmitter and receiver system is simulated, using Matlab and Simulink, to form a working algorithm and to study the effects of the different processes of the data chain. The inherent lack of phase information in the N-WDM scheme presents unique challenges and requires a precise phase recovery system to accurately decode a message. Furthermore, resource constraints are applied by a cost-effective Field Programmable Gate Array (FPGA). To compensate for the speed, gate, and memory constraints of a budget FPGA, several techniques are employed to design the best possible receiver. I study the resource intensive operations and vary their resource utilization to discover the effect on the BER. To conclude, a full VHDL design is delineated, including peripheral initialization, input data sorting and storage, timing synchronization, state machine and control signal implementation, N-WDM demodulation, phase recovery, QAM decoding, and BER calculation
Image compression and energy harvesting for energy constrained sensors
Title from PDF of title page, viewed on June 21, 2013Dissertation advisor: Walter D. Leon-SalasVitaIncludes bibliographic references (pages 176-[187])Thesis (Ph.D.)--School of Computing and Engineering. University of Missouri--Kansas City, 2013The advances in complementary metal-oxide-semiconductor (CMOS) technology
have led to the integration of all components of electronic system into a single integrated
circuit. Ultra-low power circuit techniques have reduced the power consumption of circuits.
Moreover, solar cells with improved efficiency can be integrated on chip to harvest
energy from sunlight. As a result of all the above, a new class of miniaturized electronic
systems known as self-powered system on a chip has emerged. There is an increasing research
interest in the area of self-powered devices which provide cost-effective solutions
especially when these devices are used in the areas that changing or replacing batteries is
too costly. Therefore, image compression and energy harvesting are studied in this dissertation.
The integration of energy harvesting, image compression, and an image sensor
on the same chip provides the energy source to charge a battery, reduces the data rate, and improves the performance of wireless image sensors. Integrated circuits of image compression,
solar energy harvesting, and image sensors are studied, designed, and analyzed
in this work. In this dissertation, a hybrid image sensor that can perform the tasks of sensing and
energy harvesting is presented. Photodiodes of hybrid image sensor can be programmed
as image sensors or energy harvesting cells. The hybrid image sensor can harvest energy
in between frames, in sleep mode, and even when it is taking images. When sensing
images and harvesting energy are both needed at the same time, some pixels have to
work as sensing pixels, and the others have to work as solar cells. Since some pixels are
devoted to harvest energy, the resolution of the image will be reduced. To preserve the
resolution or to keep the fair resolution when a lot of energy collection is needed, image
reconstruction algorithms and compressive sensing theory provide solutions to achieve
a good image quality. On the other hand, when the battery has enough charge, image
compression comes into the picture. Multiresolution decomposition image compression
provides a way to compress image data in order to reduce the energy need from data
transmission. The solution provided in this dissertation not only harvests energy but also
saves energy resulting long lasting wireless sensors. The problem was first studied at the system level to identify the best system-level
configuration which was then implemented on silicon. As a proof of concept, a 32 x 32 array of hybrid image sensor, a 32 x 32 array of image sensor with multiresolution decomposition compression, and a compressive sensing converter have been designed
and fabricated in a standard 0.5 [micrometer] CMOS process. Printed circuit broads also have been
designed to test and verify the proposed and fabricated chips. VHDL and Matlab codes
were written to generate the proper signals to control, and read out data from chips. Image
processing and recovery were carried out in Matlab. DC-DC converters were designed to
boost the inherently low voltage output of the photodiodes. The DC-DC converter has
also been improved to increase the efficiency of power transformation.Introduction -- Hybrid imager system and circuit design -- Hybrid imager energy harvesting and image acquisition results and discussion -- Detailed description and mathematical analysis for a circuit of energy harvesting using on-chip solar cells -- Multiresolution decomposition for lossless and near-lossless compression -- An incremental [sigma-delta] converter for compressive sensing -- Detailed description of a sigma-delta random demodulator converter architecture for compressive sensing applications -- Conclusion -- Appendix A. Chip pin-out -- Appendix B. Schematics -- Appendix C. Pictures of custom PC
Space programs summary no. 37-55, volume 2 for the period 1 November to 31 December 1968. The deep space network
Deep space network system for communication and guidance of planetary and interplanetary space probe
Space Programs Summary No. 37-52, Volume 2 for the Period 1 May to 30 June 1968. the Deep Space Network
Mission support, advanced engineering, operations and systems analysis, and technical facilities programs related to Deep Space Networ
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