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Serial Peripheral Interface Design for Advanced Microcontroller Bus Architecture Based System-on- Chip

Journal: International Journal for Modern Trends in Science and Technology (IJMTST) (Vol.2, No. 7)

Publication Date:

Authors : ; ;

Page : 102-106

Keywords : IJMTST;

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Abstract

Design of System-on-Chip(SoC) receives a great deal of attention in recent days. The number of peripherals used in one SoC becomes larger and larger. Processors and peripherals usually communicate with each other using some protocol. With the development of SoC technique, the communication between processor and peripherals become a problem as processors have limited ports hence we design Serial Peripheral Interface to maximize the usage of the existing ports. We are designing a SPI Flash Controller which is compatible with the Advanced Microcontroller Bus Architecture (AMBA) developed by ARM. We are developing a SPI Module which can operate based on the Advanced High Performance Bus (AHB) signals. Any SPI Flash Slave can be interfaced with the SPI Module directly from the ARM Processor. This paper is concerned with design and implementation of a SPI Flash Controller on FPGA which can communicate with SPI Slaves. Tool used for simulation is ModelSim 10.1b and finally implementation include FPGA kit Spartan3 xc3s400-pq208 comprising of 208 pins synthesis carried on Xilinx v9.1.Implantable and medical devices (IMDs) have been advanced with the advancements in engineering and medical science. IMDs are used for applying new therapies to patients, monitoring human body parameters and making diagnosis as per the monitoring result. Increased use of IMDs has enhanced the chances of attacks to them. Therefore, to make use of IMDs for various applications, they need to be secured. A system is developed to achieve the security. The system monitors various human body parameters wirelessly and detects anomaly if unauthorized node participates in communication. The system uses request response protocol in wireless communication. Experiments show that body parameters can be successfully monitored and signal characteristic can be used to detect anomaly.

Last modified: 2016-07-26 22:54:47