关键词: 信息融合, 频率估计, 多段分频等长信号, 算法仿真

Abstract: Multi-section sampled signals is a kind of common signal，and information fusion among them can increase precision of signal process obviously，especially under the condition of low SNR and short duration of measured frequency.To increase precision of frequency estimation for multi-section signals and extend applicable range of existing methods，a fusion method of multi-section signals with the same length and known frequency-ratio is proposed.In the method，for unequal measured frequencies of different sections，generate the parameter matrix for frequency-domain analysis to carry out frequency normalization treatment.For phase discontinuity among different sections even after frequency normalization，design phase-difference compensating factor matrix to obtain frequency spectrum as well as phase-continuous signal.For unknown parameters in the phase-difference compensating factor matrix，generate search frequency array for actual computation and obtain frequency spectrum amplitude matrix with certain form.To prove validity of the algorithm，mathematical justification is provided.Simulated experiments with different application environment parameters are carried out.They show that the algorithm is true of any type of multi-section signals with the same length and known frequency-ratio.It has good noise immunity and its precision of frequency estimation is much higher than that of existing methods.

Key words: information fusion, frequency estimation, multi-section signals with the same length and known frequency-ratio, algorithm simulation