Signal Processing for Performance Improvement of Multi-Object Tracking Radar (MOTR)
Implementing Organization
Principal Investigator
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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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