DocumentCode :
1845231
Title :
A statistical test to discern random from constant amplitude harmonics
Author :
Zhou, Guotong
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Volume :
5
fYear :
1997
fDate :
21-24 Apr 1997
Firstpage :
3685
Abstract :
A periodogram is an important tool to reveal hidden periodicities in a given time series but does not tell whether the resulting spectral lines are associated with constant or random amplitude harmonics. Applications dealing with random amplitude models include Doppler spread targets and detection in the presence of fading. We propose to estimate the variance of the harmonic amplitude and then make the decision based on whether the variance can be regarded as zero in a statistical sense. This is a viable approach because any constant has variance zero whereas any real random process has a positive variance. A rigorous statistical test is formulated and illustrated with simulations
Keywords :
harmonic analysis; parameter estimation; random processes; spectral analysis; statistical analysis; time series; Doppler spread targets; constant amplitude harmonics; detection; fading; hidden periodicities; periodogram; random amplitude harmonics; spectral lines; statistical test; variance; Acoustic scattering; Additive noise; Application software; Fading; Maximum likelihood estimation; Particle scattering; Radar scattering; Random processes; Sonar; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
ISSN :
1520-6149
Print_ISBN :
0-8186-7919-0
Type :
conf
DOI :
10.1109/ICASSP.1997.604666
Filename :
604666
Link To Document :
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