FPGA Implementation of Robust Residual Generator
Y. M. Kim

TL;DR
This paper details the implementation of a robust residual generator on FPGA, focusing on digital domain processing, model development, and parameter selection for improved detection performance.
Contribution
It introduces a method for implementing a robust residual generator on FPGA, including model development and parameter optimization in digital domain.
Findings
Successful FPGA implementation of residual generator
Enhanced detection robustness through parameter tuning
Demonstrated digital domain processing advantages
Abstract
In this paper, one can explicitly see the process of implementing the robust residual generator on digital domain, especially on FPGA. Firstly, the baseline model is developed in double precision floating point format. To develop the baseline model, key parameters such as SNR and detection window length are selected in the identification stage. (Please refer to the uploaded paper because this box doesn't accept more typing beyond this point)
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Taxonomy
TopicsNumerical Methods and Algorithms · Advanced Decision-Making Techniques · Optical Systems and Laser Technology
