TY - GEN
T1 - Research on frequency estimation of LFM signal with spectrum superposition
AU - Yakai, Dong
AU - Shuguo, Xie
AU - Yan, Yang
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/9/23
Y1 - 2020/9/23
N2 - Aiming to solve the problem of reading LFM signal frequency information caused by down conversion in electric field frequency measurement of pulse light source, a method of frequency estimation of spectrum superposition LFM signal based on support vector machine is proposed. This method refers to the way that human beings read the spectrum, identifies the local shape features of the spectrum by SVM algorithm, and then estimates the center frequency and band width of the signal. Simulation results show that the accuracy of this method is more than 98%.
AB - Aiming to solve the problem of reading LFM signal frequency information caused by down conversion in electric field frequency measurement of pulse light source, a method of frequency estimation of spectrum superposition LFM signal based on support vector machine is proposed. This method refers to the way that human beings read the spectrum, identifies the local shape features of the spectrum by SVM algorithm, and then estimates the center frequency and band width of the signal. Simulation results show that the accuracy of this method is more than 98%.
KW - frequency estimation
KW - shape feature
KW - spectrum superposition
UR - https://www.scopus.com/pages/publications/85097195432
U2 - 10.1109/EMCEUROPE48519.2020.9245724
DO - 10.1109/EMCEUROPE48519.2020.9245724
M3 - 会议稿件
AN - SCOPUS:85097195432
T3 - Proceedings of the 2020 International Symposium on Electromagnetic Compatibility - EMC EUROPE, EMC EUROPE 2020
BT - Proceedings of the 2020 International Symposium on Electromagnetic Compatibility - EMC EUROPE, EMC EUROPE 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 International Symposium on Electromagnetic Compatibility - EMC EUROPE, EMC EUROPE 2020
Y2 - 23 September 2020 through 25 September 2020
ER -