TY - GEN
T1 - Time domain classification of transient radio frequency interference
AU - Czech, Daniel
AU - Mishra, Amit Kumar
AU - Inggs, Michael
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/7/10
Y1 - 2016/7/10
N2 - Short, transient radio-frequency interference (RFI) events could threaten the quality of astronomical observations made by new and planned radio telescopes such as MeerKAT, the SKA and HERA in the radio quiet reserve in South Africa. Because they are so short, often of the order of microseconds long, these events are difficult to detect and identify in the time-frequency plots typically produced by RFI monitoring systems. In this paper, we record and analyse a dataset of the time domain RFI signals of nine typical transient RFI sources. We show that it is possible to classify such transient signals in the time domain according to their source using Principal Components Analysis (PCA) and Kernel PCA. Using an adapted measure of cluster separation, we show that Kernel PCA is significantly better than standard PCA at distinguishing transient RFI sources from one another.
AB - Short, transient radio-frequency interference (RFI) events could threaten the quality of astronomical observations made by new and planned radio telescopes such as MeerKAT, the SKA and HERA in the radio quiet reserve in South Africa. Because they are so short, often of the order of microseconds long, these events are difficult to detect and identify in the time-frequency plots typically produced by RFI monitoring systems. In this paper, we record and analyse a dataset of the time domain RFI signals of nine typical transient RFI sources. We show that it is possible to classify such transient signals in the time domain according to their source using Principal Components Analysis (PCA) and Kernel PCA. Using an adapted measure of cluster separation, we show that Kernel PCA is significantly better than standard PCA at distinguishing transient RFI sources from one another.
KW - kernel principal components analysis
KW - principal components analysis
KW - Radio frequency interference
KW - time domain classification
UR - http://www.scopus.com/inward/record.url?scp=85007415943&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2016.7729071
DO - 10.1109/IGARSS.2016.7729071
M3 - Conference Proceeding (Non-Journal item)
AN - SCOPUS:85007415943
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 302
EP - 305
BT - 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings
PB - IEEE Press
T2 - 36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016
Y2 - 10 July 2016 through 15 July 2016
ER -