Title :
Transient detection using a homogeneity test
Author :
Chen, Biao ; Willett, Peter ; Streit, Roy
Author_Institution :
Connecticut Univ., Storrs, CT, USA
Abstract :
A simple yet effective statistic is proposed for detecting a transient buried in partially unknown ambient noise. The transient model is frequency scattered increased variance observations. We pose the transient detection problem as a homogeneity test and the statistic is derived as the (generalized) likelihood ratio test of overdispersion when the underlying observation sequence follows a double exponential distribution. Numerical testing focuses on the comparison of this scheme with the CFAR power-law detector
Keywords :
noise; signal detection; statistical analysis; transient analysis; CFAR power-law detector; frequency scattered increased variance observations; generalized likelihood ratio test; homogeneity test; numerical testing; overdispersion; partially unknown ambient noise; statistic; transient detection; underlying observation sequence; Acoustic scattering; Acoustic signal detection; Acoustic testing; Detectors; Exponential distribution; Frequency; Statistical analysis; Statistical distributions; Statistics; Underwater tracking;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.761318
