Spectrum Sensing Based on Novel Blind Pilot Detection Algorithm
Document Type
Conference Proceeding
Publication Date
8-14-2018
Abstract
In this paper, we attempt to explore a new spectrum-sensing scheme, which involves a novel robust pilot-detection mechanism. Conventional signal (pilot) detection approaches rely on sampling the signal time-waveform or the corresponding frequency-spectrum. These approaches are seriously restricted to temporal variations and high noise-levels. We propose a new paradigm to transform the original received-signal waveform to the power spectrum and then the ultimate probabilistic function. Thus robust signal processing method such as clustering can be utilized to lead to the better pilot-detection performance of frequency-modulation (FM) broadcasted signals. To demonstrate the performance of our proposed pilot-tone detection and pilot-frequency estimation scheme, the corresponding Monte Carlo simulation results are compared with the conventional spectral-difference detector. Our proposed new pilot-tone detection and pilot-frequency estimation scheme lead to a significant performance margin compared to the conventional method, especially in low signal-to-noise ratios.
Publication Source (Journal or Book title)
IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB
Recommended Citation
Wu, H., Yu, B., Yan, K., Zhang, X., & Wu, Y. (2018). Spectrum Sensing Based on Novel Blind Pilot Detection Algorithm. IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB, 2018-June https://doi.org/10.1109/BMSB.2018.8436750