Title :
DOA estimation and parameter separation of broad-band stochastic electromagnetic waves
Author :
Russer, Johannes A. ; Scarpa, Giuseppe ; Lugli, Paolo ; Russer, Peter
Author_Institution :
Electr. Eng. & Inf. Technol. Dept., Tech. Univ. Munchen, Munich, Germany
Abstract :
Time-domain electromagnetic interference (EMI) measurement systems sample the broad-band EMI signal with GHz sampling rates and compute the EMI spectrum by digital signal processing. By suppressing ambient noise using methods based on adaptive filtering algorithms, measurements of electromagnetic interference of a device under test can be performed at a test site polluted with electromagnetic ambient noise. In this work we describe the application of a wideband time-domain direction of arrival (DOA) estimation method for separating the waves incident from various direction and by this way filtering ambient noise from the noise of the device under test.
Keywords :
adaptive filters; broadband networks; direction-of-arrival estimation; electromagnetic interference; electromagnetic waves; DOA estimation; adaptive filtering algorithms; ambient noise; broadband stochastic electromagnetic waves; device under test; digital signal processing; direction-of-arrival estimation; parameter separation; time-domain electromagnetic interference; Correlation; Delay; Electromagnetic interference; Noise; Pollution measurement; Sensors; Time domain analysis; Direction of arrival detection; Electromagnetic interference; Electromagnetic waves with Gaussian Spectrum; Stochastic electromagnetic waves;
Conference_Titel :
Microwave Radar and Wireless Communications (MIKON), 2012 19th International Conference on
Conference_Location :
Warsaw
Print_ISBN :
978-1-4577-1435-1
DOI :
10.1109/MIKON.2012.6233577