Title :
Parameter estimation in chirped signals
Author :
Smith, C. Ray ; Erickson, Gary J. ; Neudorfer, Paul O.
Author_Institution :
Res. Dev. & Eng. Center, US Army Missile Command, Redstone Arsenal, AL, USA
Abstract :
The discrete Fourier transform (DFT) is used almost routinely to analyze sampled time series. A careful formulation of any problem to be solved and a meticulous application of probability theory ought to generate the tools to be used for analyzing the problem. The tools thus arrived at may or may not be closely related to the DFT. In this work, the implementation of such a program is outlined in a well-known problem with its roots in radar and sonar. The transform that is germane to the analysis of a chirped signal is obtained automatically.<>
Keywords :
Fourier transforms; parameter estimation; signal processing; DFT; chirped signals; discrete Fourier transform; parameter estimation; probability theory; radar; sampled time series; signal processing; sonar; Bayesian methods; Chirp; Discrete Fourier transforms; Entropy; Gaussian noise; Parameter estimation; Sea measurements; Signal analysis; Signal processing; Time series analysis;
Conference_Titel :
Communications, Computers and Signal Processing, 1989. Conference Proceeding., IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC, Canada
DOI :
10.1109/PACRIM.1989.48420
