TY - GEN
T1 - Use modified Lomb-Scargle method to analyze electromagnetic emission spectrum
AU - Shang, Xiaofan
AU - Su, Donglin
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/7/12
Y1 - 2016/7/12
N2 - Analyzing the harmonic component from emission spectrum is an effective method to find emission source in trouble-shooting for electronic system. In some situations, to improve test efficiency, different frequency steps may be used in different bands and the emission spectrum may be unevenly spaced in different bands. Moreover, the possible environmental interferences and data missing are difficulty for analysis. A novel method using modified Lomb-Scargle periodogram to extracting the base-frequency feature is presented in this paper. In this method, segmentation multi-resolution analysis is used as a preprocessing method to separate the harmonic component and broadband component. Modified Lomb-Scargle periodogram is used to extract the base-frequency features next. Several simulation and experimental results in different situations are demonstrated then. The results show that the proposed method can extract the base-frequency features effectively from unevenly spaced frequency spectrum which may have several environmental interferences and some data missing.
AB - Analyzing the harmonic component from emission spectrum is an effective method to find emission source in trouble-shooting for electronic system. In some situations, to improve test efficiency, different frequency steps may be used in different bands and the emission spectrum may be unevenly spaced in different bands. Moreover, the possible environmental interferences and data missing are difficulty for analysis. A novel method using modified Lomb-Scargle periodogram to extracting the base-frequency feature is presented in this paper. In this method, segmentation multi-resolution analysis is used as a preprocessing method to separate the harmonic component and broadband component. Modified Lomb-Scargle periodogram is used to extract the base-frequency features next. Several simulation and experimental results in different situations are demonstrated then. The results show that the proposed method can extract the base-frequency features effectively from unevenly spaced frequency spectrum which may have several environmental interferences and some data missing.
KW - EMC trouble-shooting base-frequency feature
KW - electromagnetic emission
KW - modified Lomb-Scargle periodogram
KW - muliti-resolution analysis
UR - https://www.scopus.com/pages/publications/84981303397
U2 - 10.1109/MAPE.2015.7510347
DO - 10.1109/MAPE.2015.7510347
M3 - 会议稿件
AN - SCOPUS:84981303397
T3 - 2015 IEEE 6th International Symposium on Microwave, Antenna, Propagation, and EMC Technologies, MAPE 2015
SP - 415
EP - 420
BT - 2015 IEEE 6th International Symposium on Microwave, Antenna, Propagation, and EMC Technologies, MAPE 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE International Symposium on Microwave, Antenna, Propagation, and EMC Technologies, MAPE 2015
Y2 - 28 October 2015 through 30 October 2015
ER -