DocumentCode :
2699185
Title :
An approach based on trispectrum and rank statistics to testing departure from Gaussianity of stationary signals [radar signal processing]
Author :
Liang, Zongchuang ; Liu, Xingzhao ; Liu, Yongtan
Author_Institution :
Dept. of Electron. & Commun. Eng., Harbin Inst. of Technol., China
fYear :
2003
fDate :
3-5 Sept. 2003
Firstpage :
133
Lastpage :
137
Abstract :
In this paper, a rank procedure based on trispectrum, to test the departure from the Gaussianity of stationary signals is presented. Both theoretical analysis and simulation results demonstrate that the proposed algorithm, to symmetrically distributed processes, has advantages in testing performance over the conventional approaches based on bispectrum, while maintaining the nominal level of significance, even for a relative small data size. Its results are better than those of the algorithms based on bispectrum and bootstrap.
Keywords :
Gaussian distribution; radar detection; radar signal processing; statistical analysis; bispectrum; over-the-horizon radar; radar detector; rank procedure; rank statistics; significance level; stationary signal Gaussianity departure; statistical signal processing; symmetrically distributed processes; trispectrum; Algorithm design and analysis; Analytical models; Gaussian processes; Performance analysis; Radar signal processing; Signal processing; Signal processing algorithms; Statistical analysis; Statistical distributions; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference, 2003. Proceedings of the International
Print_ISBN :
0-7803-7870-9
Type :
conf
DOI :
10.1109/RADAR.2003.1278725
Filename :
1278725
Link To Document :
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