An Improved Central Frequency Estimation Method for Frequency-Hopping Signal
Jining Xie, Shujuan Hou, Qin Zhang · 2019 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS) · 2019
Time-frequency analysis is the major method to estimate the central frequency of frequency hopping signals. There is always a trade-off between computational complexity and estimation precision. An approach based on frequency difference and one-dimensional non-linear filter has been proposed. Firstly, the frequency ridge line is extracted base on the phase difference of the adherent complex points. Then, aided by median filter, the robustness against white Gaussian noise has been enhanced. Simulation shows that, the proposed method is 5 dB better than current method in accuracy and precision when SNR is greater than 13 dB. Computational complexity be- tween different method has been analyzed.