Title :
Energy Detection of DVB-T Signals Against Noise Uncertainty
Author :
Ming Jin ; Qinghua Guo ; Jun Tong ; Jiangtao Xi ; Youming Li
Author_Institution :
Coll. of Inf. Sci. & Eng., Ningbo Univ., Ningbo, China
Abstract :
In this letter, we consider the spectrum sensing of digital video broadcasting-terrestrial (DVB-T) signals with energy detection (ED). ED delivers a superior performance among low computational complexity detectors, but it is vulnerable to noise uncertainty. By exploiting the pilot periodicity in DVB-T signals, we propose a low complexity noise power estimator which works in multipath channels, and does not require time and frequency synchronization. Simulations show that, with the noise power estimator, ED significantly outperforms the pilot correlation-based detection which is often used in DVB-T spectrum sensing.
Keywords :
computational complexity; digital video broadcasting; multipath channels; radio spectrum management; signal detection; DVB-T signals; computational complexity detectors; digital video broadcasting-terrestrial signals; energy detection; multipath channels; noise power estimator; spectrum sensing; time and frequency synchronization; Detectors; Digital video broadcasting; OFDM; Signal to noise ratio; Uncertainty; Energy detection; noise uncertainty; spectrum sensing;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2014.2347278