The Advantage of Cyclic Spectral Analysis
Abstract
This report shows that cyclic spectral analysis, as a general tool for signal spectral analysis, is much superior to more conventional spectral analysis. Three major advantages are pointed out: (1) its signal's discriminatory capability enables signal selectivity (even for highly corrupted environments); (2) it provides a richer domain for signal analysis; and (3) the theory of spectral correlation allows much more complete mechanism for modelling communication signals in several applications. A conceptual view of the cyclic spectrum is presented along with a working example. A strong mathematical foundation for the theory of spectral correlation involved in cyclic spectral analysis is provided. Finally, investigations are made on some interesting applications where exploitation of the inherent redundancy associated with spectral correlation can be used advantageously. Spectral analysis, Signal processing, Spectral correlation, Cyclostationary, Spectral estimation, Signal detection, Signal classification, TDOA estimation, Spatial filtering, Direction finding, Signal extraction.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 1991
- Accession Number
- ADA258307
Entities
People
- Eric April
Organizations
- Defence Research and Development Canada