FPGA implementation of simulated kalman filter optimization algorithm
Optimization is listed as one of the important topics in today’s electronic system due to the presence of many non-linear problems in our daily life. The ability of these optimisation algorithms to perform in a real-time environment is crucial. This paper presents a novel FPGA implementation of the...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
UTeM
2018
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/21016/ http://umpir.ump.edu.my/id/eprint/21016/ http://umpir.ump.edu.my/id/eprint/21016/1/FPGA%20implementation%20of%20simulated%20Kalman%20Filter%20optimization%20algorithm.pdf |
| Summary: | Optimization is listed as one of the important topics in today’s electronic system due to the presence of many non-linear problems in our daily life. The ability of these optimisation algorithms to perform in a real-time environment is crucial. This paper presents a novel FPGA implementation of the Simulated Kalman Filter Optimisation Algorithm. This system utilizes a distributed RAM to update the intermediate variables and the output of each iteration is stored in the block RAM. The address of the block RAM is displayed on the LCD. The hardware performance of the SKF is then compared to the PSO. Results show that the SKF has higher processing speed as well as less number of logic blocks and IO blocks were utilised. |
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