Title :
U-filter´s gaussianization function for interference background
Author :
Pingbo, Wang ; Feng, Liu
Author_Institution :
Underwater Acoust. Lab., Naval Univ. of Eng., Wuhan, China
Abstract :
By weakening the bigger and strengthening the smaller, Gaussianization can enhance the Gaussianity of samples and improve performance of subsequent correlation test. Firstly, an explicit definition on Gaussianizing filter and a practical method to evaluate the filtering performance are given. Secondly, based on the probability density function and its derivate, one typical Gaussianizing filters, so-called U-filter, are proposed and studied. Instances with lake trial data are illustrated. Finally, two applications, one in spectrum estimation and the other in Rao test, are discussed.
Keywords :
correlation methods; filtering theory; interference (signal); probability; Gaussianizing filter; Rao test; U-filter Gaussianization function; correlation test; filtering performance; interference background; probability density function; spectrum estimation; Detectors; Digital filters; Filtering; Gaussian processes; Interference; Matched filters; Probability density function; Signal detection; Spectral analysis; Testing; Gaussian mixture; Gaussianization; non-Gaussian detection;
Conference_Titel :
Wireless Communications & Signal Processing, 2009. WCSP 2009. International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4856-2
Electronic_ISBN :
978-1-4244-5668-0
DOI :
10.1109/WCSP.2009.5371444