Statistics – Applications
Scientific paper
Jan 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008spie.6937e.132s&link_type=abstract
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2007. Edited by Romaniuk, Rys
Statistics
Applications
Scientific paper
In this paper, the Zadeh method for the time-varying filtering of the non-stationary radar signal, embedded in non-Gaussian disturbances, has been considered analytically and numerically. The non-stationary radar signal has been received from a real radar receiver and only a real realisation has been accessible for experiments. The additive noise signal with Weibull distribution, as an example of non-Gaussian disturbances, has been taken into account. The linear, time-varying (LTV) Zadeh filter, for suppressing the noise signal and passing the radar signal, has been developed based on the concept of the Weyl symbol. The Weyl symbol, or equivalently the indicator function, has been designed from the Short Time Fourier Transform (STFT) as the time-frequency (TF) representation of a noisy signal. Comprehensive numerical experiments illustrate the results of the filtering process.
No associations
LandOfFree
Time-frequency Zadeh filtering in estimation of radar signals embedded in non-Gaussian disturbances does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Time-frequency Zadeh filtering in estimation of radar signals embedded in non-Gaussian disturbances, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Time-frequency Zadeh filtering in estimation of radar signals embedded in non-Gaussian disturbances will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1258490