Shandilya, R. and Khulbe, Dr. Manisha and Jain, A. and Kaushik, S. and Yadav, R. (2025) Findings of Radar Cross Section Using AI and ML. In: Design and Simulation of Classical and Quantum Antennas in Gigahertz and Terahertz: Applications in Radar Using Deep Neural Techniques. BP International, pp. 75-89. ISBN 978-93-49238-08-4
Full text not available from this repository.Abstract
This study aimed to discuss the monostatic and bistatic radar cross-section of an object with the help of simulation tools and to relate the findings with the radar cross-section definition using MATLAB. A PEC cylinder and sphere were used as an object for the simulation of the Radar Cross Section computed in CST Studio Suite software. The incident wave selected is normal and plane with TE polarization. The setup here discusses the different findings of the Radar Cross Section at different parameters like azimuth, elevation, and frequency and compares it with the model based on the theoretical formula. After simulation, results are compared with the theoretical formula using the modelling in MATLAB software.
| Item Type: | Book Section |
|---|---|
| Subjects: | Open Asian Library > Multidisciplinary |
| Depositing User: | Unnamed user with email support@openasianlibrary.com |
| Date Deposited: | 01 Mar 2025 05:18 |
| Last Modified: | 01 Mar 2025 05:18 |
| URI: | http://conference.peerreviewarticle.com/id/eprint/2066 |
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