Spectral Sensing for Cognitive Radio: Estimation of Adaptive Frequency Hopping Signal

Based on the modeling of 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 estimation 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.