A Chirplet Transform-Based Algorithm for Detecting Accelerated Radar Targets
| Autor: | Dmytro M. Vavriv, V. G. Galushko |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Flowchart
Ambiguity function Computer science 02 engineering and technology law.invention Noise symbols.namesake Signal-to-noise ratio Fourier transform law 0202 electrical engineering electronic engineering information engineering symbols Chirp 020201 artificial intelligence & image processing Radar Algorithm Chirplet transform |
| Zdroj: | 2018 15th European Radar Conference (EuRAD). |
| DOI: | 10.23919/eurad.2018.8546645 |
| Popis: | A chirplet transform-based algorithm is analyzed as a mean for detecting radar targets moving with a constant acceleration. The ambiguity function of the chirp signal associated with radar return from such targets is presented in an analytical form. The improvement of the signal-to-noise ratio provided by the suggested algorithm over the standard Fourier transform is evaluated for the case of chirp signals detectable against a "white" noise background. A flowchart for implementation of the suggested algorithm based on the multichannel weighted Fourier transform is presented. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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