Title :
Spectral sensing for cognitive radio: Estimation of adaptive frequency hopping signal
Author_Institution :
ECE Dept, Indian Inst. of Sci., Bangalore
Abstract :
Based on the modeling frequency hopping spread spectrum signal it can be shown that parametric methods of line spectral analysis is well suited for detection and estimation of low probability of intercept frequency hopping signals if the issues of order and time localization are resolved. The detection and estimation problem becomes more complex if frequency hopping is adaptive in nature. An algorithm using line spectra parameter estimation and wavelet based transient detection has been proposed which resolves above issues in computationally efficient manner suitable for implementation in cognitive radio. The simulation show promising results proving that adaptive frequency hopping signals can be detected and demodulated in a non cooperative context, even at a very low signal to noise ratio in almost real time.
Keywords :
adaptive estimation; adaptive signal detection; cognitive radio; demodulation; frequency estimation; frequency hop communication; probability; spectral analysis; spread spectrum communication; wavelet transforms; adaptive frequency hopping signal estimation; cognitive radio; demodulation; line spectral analysis; parameter estimation; probability; signal detection; spectral sensing; spread spectrum signal; wavelet based transient detection; Cognitive radio; Computational modeling; Context modeling; Frequency estimation; Parameter estimation; RF signals; Signal detection; Signal resolution; Spectral analysis; Spread spectrum communication;
Conference_Titel :
TENCON 2008 - 2008 IEEE Region 10 Conference
Conference_Location :
Hyderabad
Print_ISBN :
978-1-4244-2408-5
Electronic_ISBN :
978-1-4244-2409-2
DOI :
10.1109/TENCON.2008.4766681