4TH-ORDER SPECTRA OF GAUSSIAN AMPLITUDE-MODULATED SINUSOIDS

被引:34
作者
DWYER, RF
机构
[1] Naval Underwater Systems Center, New London
关键词
D O I
10.1121/1.401958
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Propagating underwater signals are sometimes amplitude modulated by the medium or other physical effects. Since this is a multiplicative phenomenon, the resulting spectrum is a convolution of the spectra of the modulation and the desired signal. A new method based on the spectrum of a special case of the fourth-order cumulant is proposed to extract the desired signal. It is shown that the special case of the fourth-order cumulant is independent of the covariance of a Gaussian modulating function, and therefore it can extract the desired signal even when the modulating process is Gaussian white noise. Convergence equations are derived which show that the fourth-order cumulant and its special case will converge to their asymptotic forms as the data length increases. The spectrum of the special case of the fourth-order cumulant is also derived at the output of a low-pass filter. To demonstrate these theoretical results, an experiment was conducted. A sinusoid was modulated by white Gaussian noise and transmitted through the water and received on an omnidirectional hydrophone. The second-order spectrum, the spectrum of the special case of the fourth-order moment and the spectrum of the special case of the fourth-order cumulant were estimated from the filtered data. The experiment corroborated the theoretical results by showing that the second-order spectrum could not extract the sinusoidal frequency, but the spectrum of the special case of the fourth-order moment and the spectrum of the special case of the fourth-order cumulant could. Simulations are included which further corroborate the theoretical results.
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页码:918 / 926
页数:9
相关论文
共 19 条
[1]  
[Anonymous], 1967, SPECTRAL ANAL TIME S
[2]  
BENDAT JS, 1971, RANDOM DATA ANAL MEA, pCH10
[3]   AN INTRODUCTION TO POLYSPECTRA [J].
BRILLINGER, DR .
ANNALS OF MATHEMATICAL STATISTICS, 1965, 36 (05) :1351-1374
[4]  
Davenport W.B., 1958, INTRO THEORY RANDOM, V159
[5]  
DWYER R, 1989, JUN P WORKSH HIGH OR
[6]  
DWYER R, 1990, APR IEEE ICASSP 90 A
[9]  
Flatte S. M, 1979, SOUND TRANSMISSION F
[10]  
Hinich MJ, 1982, J TIME SER ANAL, V3, P169, DOI [DOI 10.1111/J.1467-9892.1982.TB00339.X, 10.1111/j.1467-9892.1982.tb00339.x]