MEMS Spike Train Filter
MEMS (micro-electro-mechanical-system) filters convert RF signals into acoustic vibrations through the piezoelectric effect, then filter and process the signal in the acoustic domain before converting it back to the RF domain. We leverage overtone resonators that have an assortment of equally spaced resonance frequencies. The filter will pass the signals in these resonance frequencies and filter out the rest before converting the signal back to the RF domain. This creates an RF filter with very narrow, sharp, and periodic passbands across a wideband spectrum.
Projects
Enabling IoT Self-Localization Using Ambient 5G Signals [NSDI’22]
This paper presentsISLA, a system that enables low-power IoT nodes to self-localize using ambient 5G signals without any coordination with the base stations. ISLA operates by simply overhearing transmitted 5G packets and leverages the large bandwidth used in 5G to compute the high-resolution time of flight of the signals. Capturing large 5G bandwidth consumes a (…)
Efficient Wideband Spectrum Sensing Using MEMS Acoustic Resonators [NSDI’21]
This paper presents S3, an efficient wideband spectrum sensing system that can detect the real-time occupancy of bands in large spectrum. S3 samples the wireless spectrum below the Nyquist rate using cheap, commodity, low power analog-to-digital converters (ADCs). In contrast to existing sub-Nyquist sampling techniques, which can only work for sparsely occupied spectrum, S3 can (…)