DocumentCode
3055996
Title
Statistical analysis of frequency modulated signals
Author
Rao, T. Subba ; Yar, N.
Author_Institution
University of Manchester, Manchester, U.K.
Volume
7
fYear
1982
fDate
30072
Firstpage
1042
Lastpage
1045
Abstract
In the transmission of signals, one of the common models used for transmission is the frequency modulated model. Suppose the original signal is of the form
, then the contaminated frequency Modulated signal is given by
, where θc is the carrier frequency, θ is the frequency of the original signal, φ and ψ are random phases, each having a uniform distribution over the interval [-π,π], β is a modulation index. Assuming zt is a second order stationary process, we consider the spectral analysis of the process yt . Suppose we have a sample y1 ,y2 .....yn , we consider the (maximum likelihood) estimation of the frequencies θc , θ, β and A on the basis of the sample, under the assumptions (i) {zt } is a Gaussian white noise; (ii) {zt } is a second order stationary Gaussian process.
, then the contaminated frequency Modulated signal is given by
, where θKeywords
Frequency estimation; Frequency modulation; Maximum likelihood detection; Maximum likelihood estimation; Phase modulation; Random processes; Random variables; Signal processing; Spectral analysis; Statistical analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '82.
Type
conf
DOI
10.1109/ICASSP.1982.1171711
Filename
1171711
Link To Document