The Application of LQG Balanced Truncation Algorithm to the Digital Filter Design Problem
This paper presents a method for using a model reduction algorithm to design low-order digital filters. Designing an IIR digital filter that meets the specifications often leads to a high-order digital filter. To reduce the computation time and increase the response rate of the filter, we need to r...
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| Format: | Article |
| Language: | English |
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D. G. Pylarinos
2022-12-01
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| Series: | Engineering, Technology & Applied Science Research |
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| Online Access: | https://www.etasr.com/index.php/ETASR/article/view/5235 |
| Summary: | This paper presents a method for using a model reduction algorithm to design low-order digital filters. Designing an IIR digital filter that meets the specifications often leads to a high-order digital filter. To reduce the computation time and increase the response rate of the filter, we need to reduce the order of the high-order digital filter. Applying the LQG balanced truncation algorithm to reduce the demand for high-order digital filters shows that low-order filters can completely replace high-order digital filters. The simulation results show that the use of the LQG balanced truncation algorithm in order to reduce the filter order is correct and efficient.
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| ISSN: | 2241-4487 1792-8036 |