Project Website: www.eecs.umich.edu/vlsa
This project seeks to improve the performance of all-digital implementations through exploration of new system architectures. Moreover, digital design flows such as synthesis and automatic place-and-route are utilized in order to simplify the design process. This ensures that designs are portable as well as take advantage of improvements that process scaling brings
Project Website: cubicmm.eecs.umich.edu
The goal of this program is to develop a sensing platform with transducers (i.e. imaging, temperature sensing), wireless communication, high accuracy timer, processor, memory, battery and energy harvesting, in a 1mm3 volume. In addition, we will assemble and package sensor node platforms and disseminate them to the broader community for trials in a wide range of applications.
Radio Frequency Identification (RFID)
Radio frequency identification (RFID) are widely used in tracking, security, tagging and environment sensing applications. There are two different types of a tag: passive and active. An active tag utilizes battery for its power supply whereas a passive tag usually extracts its power from a wireless signal. We focus on a passive tag, since it has more advantages than an active tag such as long lifetime, low cost and small size. The goal of this project a passive tag with an injection locked oscillator. The center frequency of RF input signal is 915 MHz which belongs to the industrial, scientific and medical (ISM) radio bands. The UWB signal which has the frequency range between 3.2GHz and 4.12GHz can be generated using 3.6GHz injection locked oscillator.
60 GHz Front-End in CMOS with On-Chip Antenna for Wireless Sensor Network Applications
Wireless sensor nodes in a sensor network are typically equipped with radio transceiver, microcontroller, and energy source such as battery. The radio front-end dominates the sensor node's size; robust communication distance between nodes and gateway, and lifetime under limited power supply. This project seeks to develop a fully integrated RF front-end circuit for Wireless Sensor Network (WSN) applications. On-chip antennas as well as front-end circuits will be integrated onto the integrated platform with other components such as microprocessor, sensors and batteries to realize a complete wireless sensor node. It aims to communicate with other nodes in a distance of 1000x of its size length under ultra low power consumption.
New Radio Architectures Leveraging Compressive Sampling Theory
Osama Ullah Khan
Compressive Sensing (CS) theory suggests that the sparse signals (signals that are zero most of the time and have few non-zero values) can be sampled below the Shannon-Nyquist sampling limit. This fact can possibly lead to the development of new low power radio architectures.
In typical radios, the RF signals are sampled at Nyquist rate which usually results in consuming a large fraction of the total power consumption. Sampling the RF signal below Nyquist rate may lead to low power alternative solutions. This project is concerned with UWB signals which are sparse in time. The CS theory suggests that the signal can be sampled randomly in some orthogonal domain such as frequency domain, at a rate much less then Nyquist rate. This fact is being exploited in developing new radio architectures to achieve lower power alternative solutions