Project Type MQP Submission date 2012-04-25 Authors Eduardo Lago Elyseu Pizzini, ECE Daniel Brian Thomas, danbthomas@WPI.EDU, ECE URN E-project-042512-174736 Title FPGA Based Kalman Filter Advisors Cyganski, David, ECE Duckworth, R. James, EE Availability unrestricted Abstract
This project was undertaken to support the WPI Precision Personal Locator (PPL) project by prototyping an FPGA implementation of a Kalman Filter to perform inertial system signal processing. Currently, the Kalman Filter operations are carried out in software on a single core CPU. This project converts the software design into a parallel processsing hardware. A simplified Kalman Filter was designed and implemented within the FPGA and tested with an ADC and DAC which were integrated into the design to support analog signals at the input and output of the system. The successful demonstration of this system shows the viability of using an FPGA based Kalman Filter to perform the signal processing for the PPL system in real time.
Files MQP_FinalReport.pdf
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