Accession Number:

AD0761393

Title:

Crosscorrelation Identification of Linear Time-Varying Processes Using Pseudorando Sequences,

Descriptive Note:

Corporate Author:

SASKATCHEWAN UNIV SASKATOON DEPT OF MECHANICAL ENGINEERING

Personal Author(s):

Report Date:

1971-08-23

Pagination or Media Count:

6.0

Abstract:

The extension of the crosscorrelation technique, using pseudorandom sequences, to the identification of time-varying processes is considered. Two equivalent techniques are proposed which can track the weighting sequence of a time-varying process, provided that the rate of variation is sufficiently smooth. The methods are based on the assumption that the time variation of each term of the weighting sequence can be described over a period of at least i sub m 1 times the process settling time by the i sub m terms of a Taylor-series expansion. The periodicity of the input is essential to the methods proposed. Digital-computer-simulation results are presented to show the effectiveness of the proposed methods. Author

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE