Conference proceeding
Application of time-frequency analysis to high-power microwave devices
Proceedings of SPIE, v 4116(1), pp 1-8
13 Nov 2000
Abstract
Research is being conducted on high power microwave devices (e.g., gyrotrons) at the University of Michigan. Of utmost concern is the phenomenon of pulse shortening, that is, the duration of the microwave pulse is shorter than the duration of the cathode voltage. For years researchers have applied the Fourier transform to the heterodyned microwave signals. The problem with this technique is that a signal with multiple frequency components has the same spectrum as that of a signal with frequency components emitted at different times. Time-frequency analysis (TFA) using Reduced Interference Distributions provided an entirely different outlook in the community when it was recently applied to heterodyned microwave signals. Results show, with unprecedented clarity, mode hopping, mode competition, and frequency modulation due to electron beam voltage fluctuations. The various processes that lead to pulse shortening may finally be identified. Time resolved maximum intensity of the TFA has produced results very similar to the microwave power signal, verifying the utility of TFA in the analysis of the temporal evolution of power in each mode.
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Details
- Title
- Application of time-frequency analysis to high-power microwave devices
- Creators
- Christopher W Peters - University of Michigan–Ann ArborWilliam J Williams - University of Michigan–Ann ArborRonald M Gilgenbach - University of Michigan–Ann ArborYue Y Lau - University of Michigan–Ann ArborReginald L Jaynes - University of Michigan–Ann ArborWilliam E Cohen - University of Michigan–Ann ArborMichael R Lopez - University of Michigan–Ann ArborThomas A Spencer - Air Force Research Lab. (USA)
- Publication Details
- Proceedings of SPIE, v 4116(1), pp 1-8
- Conference
- Advanced Signal Processing Algorithms, Architectures, and Implementations X
- Publisher
- Society of Photo-Optical Instrumentation Engineers (SPIE)
- Number of pages
- 8
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000166853800001
- Scopus ID
- 2-s2.0-0034512765
- Other Identifier
- 991021957270704721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Electrical & Electronic