Accession Number:

AD0726614

Title:

Parameter Estimation, Detection and Discrimination of Signals,

Descriptive Note:

Corporate Author:

FOREIGN TECHNOLOGY DIV WRIGHT-PATTERSON AFB OHIO

Personal Author(s):

Report Date:

1971-03-31

Pagination or Media Count:

291.0

Abstract:

The document is devoted to the methods of optimal signal reception in the presence of noise. At the beginning, the book briefly discusses the fundamental notions of estimation theory, describes the least squares methods, maximum likelihood methods, and the Bayes estimates. A definition of the optimal estimates is given. The book then gives the solution of the problems of constructing optimal estimates of unknown parameters for various types of received signals. It discusses the cases of signals of known type which depend nonlinearly on unknown parameters and which are received in additive and nonadditive noise, as well as signals which are random processes and depend on unknown parameters. Methods of finding optimal estimates are also given for the cases of many observed signals. The book discusses the theory of signal detection, and gives methods of constructing optimal single-channel and multiple-channel systems of detecting useful signals of known form, useful signals dependent on random parameters, and useful signals which are random processes. It discusses in detail the problem of detecting Gaussian signals received at discrete moments of time by many channels. It proposes a method of determining a detection system which considerably reduces the volume of calculations. Author

Subject Categories:

  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE