Accession Number:

ADA190616

Title:

Spectral Analysis of Short Data Records.

Descriptive Note:

Master's thesis,

Corporate Author:

AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING

Personal Author(s):

Report Date:

1987-12-01

Pagination or Media Count:

112.0

Abstract:

This study examined the Blackman-Tukey BT and Burg methods of spectral estimation for typical electronic warfare received signals. Such signals are generally short in duration, resulting in short data records. The BRT method is a conventional spectral estimation scheme and is based on computing the discrete Fourier transform of the autocorrelation sequence ACS derived from the data record. An inherent problem of this approach is that of data windowing. Data windowing may result in poor frequency resolution, particularly short data records. The Burg method of spectral estimation, a modern approach, is capable of providing relatively good frequency resolution for short data records. However, this method requires sufficient input signal-to-noise ratio SNR. The idea here is to extend the ACS by extrapolation or prediction rather than windowing the data. The Burg method was found to yield far superior performance for data records consisting of 64 data samples. Note, however, that a minimum SNR of 15 db was assumed. Using this method a smart routine was developed that automatically determines the actual frequency components of the data record.

Subject Categories:

  • Countermeasures
  • Numerical Mathematics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE