FPGA (field programmable gate array)-based UKF (unscented Kalman filter) algorithm and filtering on brain dynamics model by FPGA-based UKF algorithm

Abstract

The invention discloses an FPGA (field programmable gate array)-based UKF (unscented Kalman filter) system. A processor of the system is an FPGA (field programmable gate array) produced by Altera company, and an SOPC (system-on-a-programmable-chip) is adopted as a processing platform; the processing platform comprises a hardware part and a software part; the hardware part comprises an SDRAM (synchronous dynamic random access memory) controller, a Flash Controller, a System ID, a JTAG (joint test action group) UART (universal asynchronous receiver/transmitter), a PIO (parallel input output) for controlling buttons, a PIO for controlling a liquid crystal screen and a PLL (phase locked loop), which are connected through an Avallon bus, wherein the SDRAM controller, the Flash Controller, the JTAG UART, the PIO for controlling the buttons and the PIO for controlling the liquid crystal screen are provided with respective peripheral circuits; the software part comprises a hardware drive program and a UKF algorithm program, wherein the hardware drive program is used for driving the hardware part in the SOPC platform and the UKF algorithm program is a core. A parallel structure for the UKF is given on the whole, and the filtering speed is improved; hardware implementation of the brain dynamics model is completed, and electroencephalogram signals similar to normality and epilepsy are generated.

Description

technical field [0001] The invention belongs to the field of intersecting digital integrated circuits and neural dynamics, and relates to a field programmable gate array (Field Programmable Gate Array, FPGA) implementation method of an unscented Kalman filter (Unscented Kalman Filter, UKF) algorithm and its application in brain dynamics. The application in the model, especially relates to a kind of UKF algorithm and its FPGA implementation method for the filtering of the brain dynamics model. Background technique [0002] With the continuous updating of digital integrated circuits and the continuous development of microelectronics technology, field programmable logic circuits have become widely popular, among which Field Programmable Gate Array (Field Programmable Gate Array, FPGA) is the most widely used. It has many advantages. First of all, its single chip can accommodate millions of logic gates, so it can achieve very powerful functions, and it can also realize system i...

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Problems solved by technology

[0005] The Chinese patent application number is: 201120522483.3, and the name is: SOPC development platform based on NIOS II system. There is a defect that shows a single

[0006] The Chinese patent application number is: 201010013568.9, and the name is: FPGA-based unscented Kalman filter system and parallel implementation method. The application discloses an FPGA-based unscented Kalman filter system, which mainly solves the existing unscented Kalman filter system. Difficulty in implementing filtering hardware and poor real-time performance

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