Abstract

Data acquisition is the most demanding application for the acquisition and monitoring of various sensor signals. The data received are processed in real-time environment. This paper proposes a novel Data Acquisition (DAQ) technique for better resource utilization with less power consumption. Present work has designed and compared advanced Quad Data Rate (QDR) technique with traditional Dual Data Rate (DDR) technique in terms of resource utilization and power consumption of Field Programmable Gate Array (FPGA) hardware. Xilinx ISE is used to verify results of FPGA resource utilization by QDR with state of the art DDR approach. The paper ratiocinates that QDR technique outperforms traditional DDR technique in terms of FPGA resource utilization.

Highlights

  • This paper proposes a novel Data Acquisition (DAQ) technique for better resource utilization with less power consumption

  • The paper ratiocinates that Quad Data Rate (QDR) technique outperforms traditional Dual Data Rate (DDR) technique in terms of Field Programmable Gate Array (FPGA) resource utilization

  • This section describes various protocols used in DAQ system like Universal Asynchronous Receiver Transmitter (UART), Serial Peripheral Interface (SPI) and Inter-Integrated Circuit (I2C): UART is a universal asynchronous receive or transmit protocol [1] [9]

Read more

Summary

DAQ methods

Data acquisition can be classified as Computer based, Microcontroller based and FPGA based. The method of embedded microcontroller system has advantages like cheaper cost, better performance and mobility; fixed architecture is its biggest disadvantage. It can be understood from its name that it is reconfigurable onboard system. It becomes first choice for any developer because of its high performance and high capacity. It fulfills all the requirement of data acquisition system like I/O, processing and storage capability [1] [2] [7] [8]

DAQ protocols
DAQ techniques
Command interface
System design
Word alignment
Bit alignment
FIFO buffer write
Proposed algorithm
Experimental setup and result analysis
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call