Signal Processing for Performance Improvement of Multi-Object Tracking Radar (MOTR)
Implementing Organization
Project Overview
The goal of this project is to find the best signal processing algorithms which can be used for tracking objects in the Multi-Object Tracking Radar (MOTR) at SDSC, SHAR. The project has successfully delivered Python, C and VHDL Codes of Cell Averaging Constant False Alarm Rate (CA-CFAR), Ordered Statistics CFAR (OS-CFAR) and Trimmed Mean CFAR (TM-CFAR). Real time multiple object tracking of PSLV-C34 was done on June 22, 2016 using CFAR algorithm code developed under the project.
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