Title :
OFDM sensing in low SNR with noise uncertainty
Author :
Koufos, Konstantinos ; Ruttik, Kalle ; Jäntti, Riku
Author_Institution :
Commun. & Networking Dept., Helsinki Univ. of Technol., Helsinki, Finland
Abstract :
The autocorrelation-based detection of OFDM signals with cyclic prefix is an appealing method for cognitive radio because it has low complexity and it allows to separate between different OFDM-based legacy systems. Unfortunately, it is also sensitive to noise estimation errors provided that a single estimate of the autocorrelation function is calculated. In this paper we design an autocorrelation-based detector for OFDM signals with cyclic prefix that is also robust in the low SNR under noise uncertainty. The proposed decision statistic allows us to calculate the error probabilities in a closed-form.
Keywords :
OFDM modulation; cognitive radio; cyclic codes; error statistics; probability; OFDM sensing; OFDM-based legacy system; SNR; autocorrelation-based detection; cognitive radio; cyclic prefix; decision statistic; error probability; noise estimation errors; noise uncertainty; Autocorrelation; Cognitive radio; Detectors; Estimation error; Noise robustness; OFDM; Signal design; Signal detection; Signal to noise ratio; Uncertainty;
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 2009 IEEE 20th International Symposium on
Conference_Location :
Tokyo
Print_ISBN :
978-1-4244-5122-7
Electronic_ISBN :
978-1-4244-5123-4
DOI :
10.1109/PIMRC.2009.5450111
