Sensing Wireless Microphone with ESPRIT from Noise and Adjacent Channel Interference

FCC requires that any white space device be able to sense wireless microphone (WM) signals at -114dBm typically corresponding to a SNR of -20dB, an extremely challenging task. This paper presents a novel WM detector based on the ESPRIT algorithm along with an auxiliary prewhitening filter that meets this requirement. Compared with existing detectors, the proposed WM detector not only successfully combats noise, but also provides a technique to mitigate the effect of adjacent channel interference caused by DTV transmission leakage, an issue much less studied.