  One-bit analog-to-digital converter (ADC), performing signal sampling as an
extreme simple comparator, is an overwhelming technology for spectrum sensing
due to its low-cost, low-power consumptions and high sampling rate. In this
letter, we propose a novel one-bit sensing approach based on the eigenvalue
moment ratio (EMR), which has been proved to be highly efficient for
conventional multi-antenna spectrum sensing in $\infty$-bit situation.
Particularly, we determine the asymptotic distribution of one-bit EMR under
null hypothesis via the central limited theorem (CLT), allowing us to perform
spectrum sensing with one-bit samples directly. Theoretical and simulation
analysis show the new approach can provide reasonably good sensing performance
at a low hardware cost.
