Efficient Wideband Spectrum Sensing Using MEMS Acoustic Resonators
summary
System samples along the frequency axis using a MEMS acoustic spike-train RF filter with 19 spikes spaced 22 MHz apart to cover 418 MHz, then recovers band occupancy with a structured sparse-recovery algorithm that uses two co‑prime subsampling rates to avoid alias collisions. Prototype uses chip‑scale MEMS, cheap low‑power ADCs and 19 USRPs for a testbed, achieves detection in densely occupied spectrum while sampling 8.5× below Nyquist, with low false positive and false negative rates.
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chapters (9)
- 0:00Introduction
- 1:57Challenges
- 2:37Frequency Sweeping
- 4:06SCube
- 5:17Spike Trim Filter
- 6:08Max Filter
- 10:12Results
- 11:08Extended SQ prototype
- 12:09Summary
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