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Radar Signal Processing on FPGA

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dc.contributor.author PROJECT SUPERVISOR LEC AAMIR JAVED, NC AROOJ KHAN NC MUHAMMAD SUHAIB HUSSAIN
dc.contributor.author PROJECT SUPERVISOR LEC AAMIR JAVED, NC AROOJ KHAN NC MUHAMMAD SUHAIB HUSSAIN
dc.date.accessioned 2025-03-26T07:02:05Z
dc.date.available 2025-03-26T07:02:05Z
dc.date.issued 2020
dc.identifier.other DE-ELECT-38
dc.identifier.other DE-ELECT-38 untranslated
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/51699
dc.description PROJECT SUPERVISOR LEC AAMIR JAVED en_US
dc.description.abstract There are many applications that require a short-range radar system to find the range and velocity of the targets. For example, in ADAS (Advanced driver-assistance systems), we continuously need to monitor the range and velocity of obstacles and other vehicles. Radars can extract information about targets or obstacles using EM waves. FMCW radars are widely used in such applications where we need short-range coverage. In our FYP we have implemented the signal processor for an FMCW radar on the Zynq SoC kit, to detect short-range targets and determine their velocity and range. For this, we used MATLAB to generate the simulated data of FMCW radar. We implemented the UART interface between MATLAB and Xilinx Zynq SoC to transfer simulated data to Xilinx Zynq SoC. Simulated data is first stored in DDR memory on the processing system (PS) side. Then it is transferred from the Processing system (PS) to programmable logic (PL) part of Zynq SoC, using AXI DMA, to apply signal processing algorithms like FFT and CFAR to extract the beat frequencies. This information is transferred to PS, and then to MATLAB on the UART interface. The final output containing range and velocity of targets is displayed on MATLAB en_US
dc.language.iso en en_US
dc.publisher College of Electrical & Mechanical Engineering (CEME), NUST en_US
dc.title Radar Signal Processing on FPGA en_US
dc.type Project Report en_US


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