Blind parameter estimation of frequency hopping signal using Local characteristic-scale decomposition

A new blind parameter estimation algorithm of the frequency hopping signal is proposed, which is based on the local characteristic-scale decomposition(LCD) to solve the contradiction between the resolution of time and frequency. In the proposed algorithm the frequency hopping signal is iteratively decomposed into several intrinsic scale components(ISC), and some intrinsic scale components are deleted which are regarded as noise components, then an analysis sequence is derived from the maximum instantaneous amplitude of the denoised signal. So the hop rate and hop timing of the frequency hopping signal can be estimated by performing wavelet transform and Fourier transform on the analysis sequence. And the hopping frequencies can be estimated by using the estimated hop rate and hop timing. The algorithm is free from time-frequency uncertainty principle, and can estimate the hop rate, hop timing and hopping frequencies without any prior knowledge. Simulation results have proved that the algorithm is effective.