关键词: 快速跳频, 参数盲估计, 欠定混合

Abstract:

Aiming at the parameter estimation of the fast frequency hopping signals for underdetermined situation, an improved blind parameter estimation algorithm was proposed, considering the hopping instants detection method based on autoregressive moving average (ARMA) model. The parameter estimation of the fast frequency hopping signals was realized by modifying the time-hopping sequence according to the hop duration and Fourier transform. Experiments show the estimation accuracy of the algorithm can reach more than 90%, about five times increasing compared with the existing algorithm for underdetermined situation when the signal to noise ratio is greater than 10 dB.

Key words: fast frequency hopping, blind parameter estimation, underdetermined mixture