Sensing Wireless Microphone With ESPRIT From Noise and Adjacent Channel Interference
Source: Rutgers University
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 pre-whitening 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.