Abstract
This paper discusses the comparison of time-frequency representations for the analysis of helicopters' micro-doppler signatures using fundamental spectral estimation methods such as the periodogram, Blackman-Tukey, spectral estimation, and non-parametric methods like Capon, as well as parametric methods like covariance, Burg and MUSIC. It also examines frequency and power distributions in target identification through radar analysis.
| Translated title of the contribution | Time-Frequency Representations of Classical Spectrum Estimation Methods for Micro-Doppler Analysis of Variable Wing Number Helicopters |
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| Original language | Turkish |
| Title of host publication | 32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350388961 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024 - Mersin, Turkey Duration: 15 May 2024 → 18 May 2024 |
Publication series
| Name | 32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024 - Proceedings |
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Conference
| Conference | 32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024 |
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| Country/Territory | Turkey |
| City | Mersin |
| Period | 15/05/24 → 18/05/24 |
Bibliographical note
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