DSpace Repository

EXPERIMENTAL VERIFICATION OF PERFORMANCE IMPROVEMENT OF RADAR DETECTION USING ROBUST WAVEFORM TECHNIQUES

Система будет остановлена для регулярного обслуживания. Пожалуйста, сохраните рабочие данные и выйдите из системы.

Show simple item record

dc.contributor.author Turekhanov, Anuar
dc.date.accessioned 2024-06-10T07:24:16Z
dc.date.available 2024-06-10T07:24:16Z
dc.date.issued 2024-04
dc.identifier.citation Turekhanov, A. (2024). Experimental Verification of Performance Improvement of RADAR Detection Using Robust Waveform Techniques. Nazarbayev University School of Engineering and Digital Sciences en_US
dc.identifier.uri http://nur.nu.edu.kz/handle/123456789/7799
dc.description.abstract This project was aimed at analyzing different methods of RADAR performance improvement and their efficiency in the experimental setting in mitigating noises and interferences in the received signal. The project will focus on the experimental results acquired from IWR1843BOOST 77 GHz electronic LFM RADAR and on the effect of different techniques on the object detection. Some of the techniques that were studied include increasing bandwidth for improved range resolution, frequency hopping, and interpolation in the STFT domain en_US
dc.language.iso en en_US
dc.publisher Nazarbayev University School of Engineering and Digital Sciences en_US
dc.rights Attribution-NonCommercial-ShareAlike 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/us/ *
dc.subject Type of access: Restricted en_US
dc.subject RADAR Detection en_US
dc.subject Robust Waveform Techniques en_US
dc.title EXPERIMENTAL VERIFICATION OF PERFORMANCE IMPROVEMENT OF RADAR DETECTION USING ROBUST WAVEFORM TECHNIQUES en_US
dc.type Capstone Project en_US
workflow.import.source science


Files in this item

The following license files are associated with this item:

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-ShareAlike 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 3.0 United States