Speaker
Description
This work presents a novel hardware-in-the-loop (HIL) simulation framework for testing and evaluation of digital signal processing routines for active radar systems by leveraging the open-source PYNQ (Python Productivity for Adaptive Computing Platforms) framework. This test and evaluation approach offers several advantages, including increased accessibility, reduced development time, and faster iteration speed for field programmable gate array (FPGA)-based hardware acceleration. In our work, we demonstrate various methods for generating realistic radar scenarios incorporating several emitter types and propagation environments. By co-simulating parts of the radar receiver chain in hardware and software, our work aims to quickly validate algorithms, optimize system performance, and accelerate the development cycle for novel radar applications with a focus on iterative development. This HIL approach is validated against an active radar scenario with various emitters and paves the way for an adaptable research and development workflow for novel radar applications using commodity hardware, open-source software, and emerging programming paradigms using FPGAs.
| Talk Length | 15 Minutes |
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