Title :
SNR Walls for Feature Detectors
Author :
Tandra, Rahul ; Sahai, Anant
Author_Institution :
Univ. of California, Berkeley
Abstract :
It is known that model uncertainties impose fundamental limits on the sensitivity of purely energy-based detectors. Feature detectors are sometimes proposed as being robust to uncertainties of the type that limit energy detectors because they can exploit more detailed structures of the signals to be detected. We show that natural model uncertainties for wireless environments lead to fundamental limits on the sensitivity of cyclostationary feature detectors as well - leading to "SNR Walls" beyond which robust detection is impossible, no matter how long the observations are.
Keywords :
feature extraction; radiocommunication; signal detection; SNR walls; cyclostationary feature detectors; energy-based detectors; feature detectors; natural model uncertainties; signals detection; wireless environments; Cognitive radio; Computer vision; Detectors; Robustness; Signal detection; Signal processing; TV; Tin; Uncertainty; Wireless sensor networks;
Conference_Titel :
New Frontiers in Dynamic Spectrum Access Networks, 2007. DySPAN 2007. 2nd IEEE International Symposium on
Conference_Location :
Dublin
Print_ISBN :
1-4244-0663-3
DOI :
10.1109/DYSPAN.2007.79