Spectral Analysis of Short Data Records.
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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 1987
- Accession Number
- ADA190616
Entities
People
- Thorlough E. Carter Jr
Organizations
- Air Force Institute of Technology